Lista de artigos aceitos
Trilha Principal
| Sessão Técnica | Título | Autores (Afiliação) | Resumo |
|---|---|---|---|
| #1 - Sistemas de Informação em Situação de Pandemia 07/06 - 13h às 14h20 |
The Profusion of Information Systems to Combat the COVID-19 Pandemic: A Systematic Mapping of the State of the Art and Brazilian Challenges of Technological Production | Sandro Luis Freire de Castro Silva (Universidade Federal do Estado do Rio de Janeiro - Brazil), Maria Augusta Silveira Netto Nunes (Universidade Federal de Sergipe - Brazil), Marcelo Fornazin (Universidade Federal Fluminense - Brazil), Rodrigo Santos (UNIRIO - Brazil) |
With the arrival of COVID-19, the scientific community was
mobilized, not only in researches in the biomedical field
but also in searching for ways to support professionals
working on the front lines of fighting the virus. In the
context of information systems (IS), several systems were
developed to contribute to this collective effort. In this
study, we provide an overview of that profusion of systems
designed to support the fight against COVID-19. To achieve
this goal, a systematic mapping of the technical state of
the art was carried out in patent documents in 2020. The
study compared the national technological production to the
international scenario and listed the main challenges
regarding the technological production during COVID-19.
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| Attribute selection based on genetic and classification algorithms in the prediction of hospitalization need of COVID-19 patients | Miriam Colpo (Universidade Federal de Pelotas - Brazil), Bruno Alves (UFPel - Brazil), Kevin Pereira (Federal University of Pelotas - Brazil), Anna Flávia Brandão (Federal University of Pelotas - Brazil), Marilton Aguiar (UFPEL - Brazil), Tiago Primo (Universidade Federal de Pelotas - Brazil) |
The COVID-19 pandemic has been pressuring the whole society
and overloading hospital systems. Machine learning models
designed to predict hospitalizations, for example, can
contribute to better targeting hospital resources. However,
as the excess of information, often irrelevant or redundant,
can impair the performance of predictive models, we propose
in this work a hybrid approach to attribute selection. This
method aims to find an optimal attribute subset through a
genetic algorithm, which considers the results of a
classification model in its evaluation function to improve
the hospitalization need prediction of COVID-19 patients. We
evaluated this approach in a database of more than 200
thousand COVID-19 patients from the State Health Secretariat
of Rio Grande do Sul. We provided an increase of 18% in the
classification precision for patients with hospitalization
necessities. In a real-time application, this would also
mean greater precision in targeting resources, as well as,
consequently and mainly, improved service to the infected
population.
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| Promoting Digital Entrepreneurship to mitigate the impacts caused by the COVID-19 pandemic | Darlinton Carvalho (UFSJ - Brazil), Alice Cunha (UFSJ - Brazil), Fábio Corrêa (Universidade UFMG, UFSJ e FUMEC - Brazil), Fabricio Molica (UFSJ - Brazil) |
The COVID-19 pandemic forced governments to impose harsh
social restrictions as part of the strategy to deal with the
situation, forcing society to adapt quickly. In response to
this emergency, we offered training in technological skills
(i.e., development of information systems) and behavioral
skills (i.e., entrepreneurship mindset) in an effort to
empower people to better tackle the situation. This paper
explains the foundations considered in the proposal of the
intervention, as well as the results obtained. Through
development in line with university extension principles,
the intervention promotes the empowerment and participation
of citizens in creating digital solutions that enable
society to overcome its problems, especially those caused by
the imposition of social distance. Taking advantage of
web-centric software platforms, participants of the offered
training were able to build support systems for online
businesses. The results achieved by the 48 graduates
reinforce the viability and importance of citizen
participation in the creation of innovations based on
digital entrepreneurship.
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| An indicator of inefficient visualizations: the challenge of transparency during the COVID-19 pandemic in Brazil | Rodrigo Oliveira (Universidade Federal do Rio de Janeiro - Brazil), Jonice Oliveira (Universidade Federal do Rio de Janeiro (UFRJ) - Brazil), Claudia Cappelli (UFRJ - Universidade Federal do Rio de Janeiro - Brazil) |
The COVID-19 epidemic requires clear and reliable
information to guide the population. Visualization is a
powerful tool to contribute to the understanding of this
data. However, just divulging this resource is not enough to
guarantee this understanding. It is important to support
users in analyzing this data, making this process easier and
more transparent, especially for users with little (or no)
literacy. In this work, we define an inefficient graphics
indicator, that is, with the potential to be misinterpreted
or difficult to understand, according to the basic
guidelines of the data visualization area. These guidelines
were selected through a literature review, forming a
repository of practices that guide good visualization design
and provide the indicator assessment items. The proposal is
apply in the Brazilian scenario of COVID-19, analyzing the
official visualizations and highlighting the failures of
several epidemiological perspectives on the epidemic.
Through a case study where volunteers analyzed the official
data and our recommendations, we proved that the indicator
is effective in detecting and helping to understand the
visualization. We highlight the alert for the need for
greater care in the creation of graphics by the government
so as not to compromise the understanding of the citizens
who use them.
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| CovidTrends: Identifying Behaviors during the COVID-19 Pandemic | Marcelo Loutfi (UNIRIO - Brazil), Marcelo Tibau (UNIRIO (Universidade Federal do Estado do Rio de Janeiro) - Brazil), Sean Siqueira (Universidade Federal do Estado do Rio de Janeiro (UNIRIO) - Brazil), Bernardo Pereira Nunes (Australian National University - Australia) |
This paper presents the identification of peoples behavioral
changes during the Covid-19 pandemic period by analyzing the
terms searched on Google and news. We developed an artifact,
called CovidTrends, used the DSR (Design Science Research)
epistemological approach, the Design Science Research
Methodology (DSRM), and the document analysis method to list
infodemic or peoples behavioral trending of interest on
Google and correlating them to news within the timeframe in
which the terms' queries peaked. CovidTrends enabled the
identification of three main behaviors, which we verified on
news reporting in the media. Then, it proves to be
appropriate to support data analysis and identify peoples
pandemic behavior.
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| #2 - Governo Digital e Transparência 07/06 - 14h30 às 15h50 |
Machine Learning Applied to the INSS Benefit Request | Ney Barchilon (PUC - Pontífice Universidade Catolica - RJ - Brazil), Tatiana Escovedo (Pontifícia Universidade Católica do Rio de Janeiro - Brazil) |
A materialização da universalização da proteção social,
prevista na Constituição do Brasil no capítulo da Seguridade
Social, com o tripé de Saúde, Previdência e Assistência
Social, especificamente no âmbito da Previdência, se dá
através da concessão e manutenção de benefícios a todos os
brasileiros que necessitem dessa proteção, o que gera uma
demanda enorme de milhões de requisições de benefícios
anuais ao INSS, que é o operador desses serviços. Receber e
analisar os pedidos de benefícios, entre outros processos,
em tempo hábil e com assertividade, é algo complexo e
desafiador, seja pelo volume de milhões de pedidos de
benefícios anuais, seja pela diversidade de benefícios
disponíveis, pelos diferentes critérios de concessão e pela
urgência que a natureza desses pedidos exige para a
manutenção da vida dos requerentes. Dentro deste contexto, o
presente estudo vem no sentido de desenvolver alguns
modelos, utilizando técnicas de aprendizado de máquina, e
selecionar o melhor deles, que possa predizer se determinada
requisição de benefício será concedida ou indeferida,
oferecendo uma oportunidade de que possa ser utilizado como
mais uma ferramenta para ajudar na análise de novos pedidos
de benefício, abrindo espaço para que a dinâmica do processo
de análise possa ser direcionada de forma mais ágil e
assertiva. A fonte de dados para a construção dos modelos,
neste trabalho, foi obtida no Portal de Dados Abertos do
INSS, que constam do Plano de Dados Abertos do INSS, com os
arquivos mensais de Benefícios Decididos (Concedidos ou
Indeferidos) no período de dezembro de 2018 a junho de 2020.
Como escopo de análise, foram abordados algoritmos como KNN,
SVC, Árvores de Decisão, Regressão Logística etc. Também
foram construídos modelos que utilizam as técnicas de
Ensemble Bagging e Boosting, chegando a um conjunto de
dezessete algoritmos analisados. O algoritmo que obteve o
melhor desempenho, utilizando a métrica F1 como
determinante, foi o Classificador XGradient Boosting
(XGBoost) com 80%. Com este, o modelo realiza a predição com
aproximadamente 84% de Precisão, 76% de Sensibilidade e 81%
para ROC_AUC. Como resultado do estudo, obteve-se um modelo
capaz de efetuar a predição se determinado requerimento de
benefício seria concedido ou indeferido, com base nos dados
de requerimento, com uma performance dentro das expectativas
estabelecidas nos objetivos.
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| Model for Projects Observatories: A Preliminary Study | Jeferson Vieira (Universidade Federal do Ceará - Brazil), Ivaldir Junior (Universidade de Pernambuco - UPE - Brazil), Hermano Moura (Universidade Federal de Pernambuco - Brazil) |
The observation, in the context of the organization and the
projects, has been defined, in the recent literature, by the
transparency construct, and the development of tools to
systematize the transparency has presented as a challenge to
the organizations. In this sense, the observatories are
presented as information systems that support the
collection, organization, storage, analysis, and observation
publications, providing transparency. Nowadays, it is
possible to identify the existence of observatories related
to the most variable themes, such as, health, environment,
social media, cities, web, among others. In addition to
that, projects and its management may also benefit with the
development of these observatories. The use of observatories
in the most variable areas of knowledge added to them a
striking feature, typological diversity. That is, there is
not only one model of observatories; however, the diversity
does not stop from establishing guidelines that can guide
the conduct of these observatories. Before this scenario,
this research has the goal to propose a model that
contributes to the comprehension and the development of
projects observatories. To achieve the objective of this
research, a set of initial exploratory studies was developed
with the objective of developing pilot projects for project
observatories. In addition, a systematic mapping of the
literature on observatories has also been developed. The
results of the initial exploratory studies and of the
systematic mapping of the literature gave rise to the
preliminary version of the model for project observatories.
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| Clusters of Brazilian municipalities and the relationship with their fiscal management | Marcio Felipe Afonso (Pontifícia Universidade Católica do Rio de Janeiro - Brazil), Tatiana Escovedo (Pontifícia Universidade Católica do Rio de Janeiro - Brazil) |
The management of municipal finances is crucial in providing
quality services and infrastructure to citizens and the
availability of data and indicators that provide an
individualized view of fiscal management is relatively
recent. Therefore, we seek to identify which socioeconomic
characteristics of brazilian municipalities appear to have
the greatest influence on the FIRJAN Fiscal Management Index
(IFGF) for the more than five thousand Brazilian
municipalities, as well as to identify homogeneous groups of
cities based on such characteristics, using the K-Means
method for clustering. Among the main conclusions, we
highlight that Brazilian cities are very homogeneous and
face the same social vulnerabilities and that the average
level of municipal investment does not significantly differ
between groups, even when we compare groups with greater
socioeconomic disparities.
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| A Systematic Mapping of Literature on the Use of Geotechnologies in Smart Cities in the Government area | Theodora Faria e Silva (Universidade Federal de Itajubá - Brazil), Vanessa Souza (Universidade Federal de Itajubá - Brazil), Melise Paula (Universidade Federal de Itajuba - Brazil) |
In the last decade, the topic of smart city has been
researched, culminating in proposals that aim to improve the
quality of life of the population. One of the possibilities
found is the design and construction of solutions that use
geotechnologies that can be strong allies in the development
of cities. The purpose of this article is to present a
systematic mapping on geotechnologies used in the context of
smart cities, with a focus on identifying which problems
they solve, the specificities of their use and which
proposals were actually applied by the government. 37
studies were analyzed that address the defined research
questions. Among these studies it was possible to see that
solutions involving software are the most recurring. Through
this mapping it was observed that Geographic Information
Systems are the most cited geotechnology in the analyzed
publications, and that there is still a lack of applications
for proposals by the government.
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| Re-Public: Workflow to publish and reuse Linked Open Government Data | Jose Beluzo (Universidade de São Paulo - Brazil), Bruno Dias (Universidade Federal Fluminense - Brazil), Gisele Craveiro (USP - Brazil), Renata Araujo (Faculdade de Computação e Informática Universidade Presbiteriana Mackenzie São Paulo SP Bras - Brazil) |
Brazilian governments have made progress on transparency -
including publishing Open Government Data (OGD). Although
there are still gaps to be filled on how to address properly
OGD supply and demand. The consumption has been limited by
data and metadata quality, heterogeneity, format and data
structure. In this paper, we explore the Re-public design -
a generic process that aims to re-publish OGD in RDF format
- based on OWL (Ontology Web Language) ontologies. Re-public
purpose is to improve data connectivity and availability to
consumption - both can be achieved by adding a semantic
layer to data. We applied Re-public on the government budget
field: using Constitucional Transfers to Cities dataset
(Transferências Constitucionais para Municípios) and DBpedia
open data. The results show that, using Re-Public, its
possible to publish original CSV files in a new format that
enables semantic web tools to be used.
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| #3 - Sistemas de Informação aplicados à solução de
problemas 07/06 - 16h às 17h20 |
DCARE: A Computational Model for Monitoring People with Alzheimer's Disease Based on Context Histories Analysis | Savanna Denega Machado (Universidade do Vale do Rio dos Sinos - UNISINOS - Brazil), Jorge Barbosa (Unisinos - Brazil), João Tavares (Unisinos - Brazil), Marcio Martins (Universidade do Vale do Rio dos Sinos - Brazil) |
The aging of the population generates the incidence of
diseases characteristic of advancing age, among them
Alzheimer's Disease (AD). Patients with this illness, which
affects neurological functions, need support to maintain
maximum independence and security during this stage of life,
as the cure and reversal of symptoms have not yet been
discovered. This work aims to propose a model that, based on
physiological data received from external applications,
makes it possible to identify possible dangerous behaviors
of patients with AD. The main scientific contribution of
this work is the specification of a model focusing on
Alzheimer's disease using the analysis of Context Histories
and Context Prediction, which considering the state of the
art, is the only one that uses analysis of Context Histories
to perform predictions. The computational model used in its
structure an ontology developed by this project for the
treatment of contexts within Alzheimer's. In addition, a
simulator called DCARE Dataset Simulator, of Activity Daily
Living (ADLs) which generates datasets were developed to
perform tests of the model and an ontology has been proposed
for the treatment of contexts in the context of Alzheimer's.
DCARE is based on the experimental research method, to
understand the disease and find solutions to minimize its
impact on the daily monitoring of patients. Scenarios used
in the construction of the model were created over
interviews with five specialists in the care for patients
with AD. Tests were performed with the mass of data with
1026 scenarios generated by the proposed simulator by this
work. The results revealed that the predictions of the model
scenarios reached the objective of the work, achieving
97.44% of the average accuracy rate.
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| Refactoring Decision based on Measurements for IoHT Apps | Breno Oliveira (Universidade Federal do Ceará - Brazil), Italo Linhares de Araújo (Universidade Federal do Ceará - Brazil), Joseane Paiva (Universidade Fedral do Ceará - Brazil), Evilasio Junior (UFC - Brazil), Rossana Maria de Castro Andrade (Universidade Federal do Ceará - Brazil) |
Internet of Things (IoT) provides smart objects with the
ability to connect to the Internet, allowing the exchange of
information among them to provide a certain service and the
development of innovative applications in several domains,
including e-Health, in which it is called Internet of Health
Things (IoHT). This domain can be critical specially when
the application deals with the monitoring of the user health
in real-time, what demands software quality assurance, even
more than in other applications. Measures can be used to
support that, for example, measures can suggest which
components need refactoring to improve the software code,
thus improving the application. In this work, we report how
to do that with two existing measures that guide the
refactoring process of an IoHT application for fall
detection, called WatchAlert. These measures indicate that
changes in both the architecture and the algorithms for fall
detection should occur. After the refactoring, the app
accuracy was improved from 73.3% to 92.7%. We believe that
this work can contribute to other studies focusing on
developing applications on the IoHT domain using a
methodology, a set of refactoring techniques, and lessons
learned that could be replicated to improve the quality of
this type of application.
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| Tellus-Onto: uma ontologia para classificação e inferência de solos na agricultura de precisão | Gilson Helfer (Universidade de Santa Cruz do Sul - Brazil), Jorge Barbosa (Unisinos - Brazil), Rodrigo Simon Bavaresco (Universidade do Vale do Rio dos Sinos - Brazil), Adilson Costa (Universidade de Santa Cruz do Sul - Brazil) |
Laboratórios de análises de solos demandam volumes grandes
de dados empregados na agricultura de precisão. Dentre eles,
parâmetros que representam fertilidade de solos como textura
e matéria orgânica orientam o processo de adubação. No
entanto, este processo pode se tornar demorado, limitando
assim sua utilidade. Sendo assim, este artigo propõe uma
ontologia denominada Tellus-Onto que estende o estado da
arte na classificação de solos brasileiros de acordo com a
composição orgânica e textural. Uma série de axiomas e
regras semânticas foram empregadas para proporcionar a
realização de consultas e inferências sobre sua base
instanciada. Para testar a ontologia foram instanciados 98
resultados de amostras de solos e inferidos suas
classificações de modo preciso e automático.
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| Information System applied in Construction Quality Control A Mapping Study | Leander de Barros Souza (Instituto Militar de Engenharia - Brazil), Ricardo Choren (IME / RJ - Brazil), Giuseppe Miceli Junior (Instituto Militar de Engenharia - Brazil) |
Civil construction has increasingly invested in techniques
for quality assurance and control. Service inspection is a
key activity in the quality control process is the
inspection of services. It is executed by specialized
professionals in order to register the quality of services.
Through these inspections, it is possible to detect faults
during construction. To get an overview of the
approaches/techniques of information systems that have been
used to support the inspection activity, a systematic
mapping of the literature has been done. The literature
mapping indicates the use of information systems to collect
inspection data, mainly using technologies such as laser
scanner, augmented reality, internal positioning and forms.
Some works also use previous construction models, generated
using BIM and 3D CAD models,to aid the inspection activity.
Result analysis indicates that there are signs of immaturity
within there search area, and it is recommended that
existing systems are complemented with inspection issues
tracking and quality control history features.
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| A method based on machine learning to predict meal production in university restaurants | Yuri Santos (IFSULDEMINAS - Campus Muzambinho - Brazil), Diego Saqui (Instituto Federal do Sul de Minas Gerais -Brazil), Paulo César dos Santos (IFSULDEMINAS - Câmpus Muzambinho - Brazil) |
In university restaurants, food waste is frequently, which
can generate a significant loss of food produced.
Inaccuracies often cause food waste in predicting the number
of meals consumed by students. Three different Machine
Learning (ML) algorithms were tested and evaluated in this
context: K-Nearest Neighbors, Random Forest, and Artificial
Neural Networks using data from the Anônimo campus
restaurant at the Universidade Anônima. This work performed
an analysis and pre-processing of the data, applying them to
the ML algorithms, which were evaluated and compared with
the human prediction and an algorithm that uses the mean as
an estimator. We also developed the software to manage the
university restaurant, using ML as an estimator. The results
showed that in three of the four scenarios, the ML
algorithms did better than the human prediction or an
algorithm that does not use ML. In additional comparison,
the human prediction did better than one of the four
scenarios. We concluded that ML might be a reasonable
solution in the future to reduce waste in college
restaurants.
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| #4 - Complexidade de Sistemas de Informação 08/06 - 13h às 14h20 |
Mon4Aware: A multi-objective and context-aware approach to decompose monolithic applications | Roger Urdangarin (Unisinos - Brazil), Kleinner Farias (Unisinos - Brazil), Jorge Barbosa (Unisinos - Brazil) |
This article introduces Mon4Aware, a multi-objective and
context-aware approach to decompose monolithic applications.
Mon4Aware stands out for: (1) using optimization based on
multiple criteria to allow monolithic applications to be
modularized in different ways, making its decomposition
process flexible; and (2) to propose a context meta-model to
allow the decomposed modules of the monolithic application
to be able to adapt under certain contextual situations.
Software developers can use Mon4Aware as a guide to
modernization activities for monolithic applications, making
them less error-prone. The approach was evaluated through a
case study, in which the conceptual viability of Mon4Aware
was demonstrated, as well as promising initial results in
generating recommendations for the decomposition of
monolithic applications.
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| Software Requirements Elicitation for Complex Systems with the Functional Resonance Analysis Method (FRAM) | Elaine Carvalho (UFRJ - Brazil), José Orlando Gomes (UFRJ - Brazil), Alessandro Jatobá (Fiocruz, UniCarioca - Brazil), Mônica Silva (Universidade Federal do Rio de Janeiro - Brazil), Paulo Carvalho (UFRJ - Brazil) |
Despite all efforts, the requirements elicitation task is
still considered non-trivial, especially for complex
(non-linear) systems. In these systems, technological
support must perform more resiliently, that is, be more
adaptable to deal with uncertain situations. The Resilience
Engineering provides the Functional Resonance Analysis
Method (FRAM) to model these systems based on a description
of the actual work (Work-As-Done - WAD). Therefore,
unexpected events commonly associated with variability and
improvisations become more explicit with that method. Thus,
a multidisciplinary approach can contribute to requirements
elicitation, since FRAM models deal with variability,
unpredictability, and adaptation in complex socio-technical
systems. This study applies Design Science Research to
project a heuristic model to gather information from FRAM
models to elicit functional and non-functional requirements,
showing the contributions of Resilience Engineering to
Requirements Engineering to identify software requirements
for complex systems.
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| Source Code Interoperability based on Ontology | Camila Aguiar (Universidade Federal do Espirito Santo - UFES - Brazil), Félix Zanetti (Universidade Federal do Espirito Santo - Brazil), Vítor Silva Souza (Federal University of Espírito Santo - Brazil) |
The different ways of representing a source code in
different programming languages create a heterogeneous
context. In addition, the use of multiple programming
languages in a single source code (polyglot programming)
brings a wide choice of terms from different languages,
libraries and structures. These facts prevent the direct
exchange of information between source codes of different
programming languages, requiring specialized knowledge of
the programming languages involved. In this article, we
present an ontology-based method for source code
interoperability that provides an alternative to mitigate
heterogeneity problems. In this sense, we apply semantic
interoperability to ensure that shared information has its
meanings understood and operationalized by source code
written in different programming languages.
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| Interoperability Types Classifications: A Tertiary Study | Kecia Souza Santana Santos (UFBA - Brazil), Rita Suzana Pitangueira Maciel (Universidade Federal da Bahia - Brazil), Larissa Pinheiro (Universidade Federal da Bahia - Brazil) |
Interoperability is the ability of heterogeneous systems to
interact and exchange information efficiently and
effectively through a planned process. Interoperability has
several faces and usually, the syntactic interoperability
type is pointed out as the most basic one for keeping
information systems interoperable. Several other types of
interoperability, such as semantics, pragmatics, syntactic,
organizational have been addressed as important
non-functional requirements for information systems. Still
lacking consensus, there are several terms used to
characterize interoperability. Thus, can bring confusion and
ambiguity in the use of these terms, making it difficult to
have a comprehensive view of related or similar
interoperability proposals. While some primary studies
address specific solutions for interoperability aspects,
secondary studies seek to summarize some research directions
and practical knowledge. This paper presents a tertiary
study performed to investigate the current research state on
interoperability, organizing knowledge that has already been
defined, about types of interoperability known and the new
ones. We conducted a tertiary study to achieve the stated
goal based on a set of three research questions. The study
identified selected and analyzed 15 secondary studies to
answer the formulated research questions. Although
twenty-seven different interoperability types were found, a
specific subset is the most cited among these secondary
studies. Its results can help to identify points that still
require further investigation in the interoperability
research field.
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| MIDAS-OWL: An Ontology for Interoperability between Data and Service Cloud Layers | Elivaldo Ribeiro (Federal University of Southern Bahia (UFSB) - Brazil), Marlo Souza (Universidade Federal da Bahia - UFBA - Brazil), Daniela Barreiro Claro (Federal University of Bahia - Brazil) |
As different cloud computing services have emerged over the
years, the diversity of technologies and the lack of
standardization has given rise to an interoperability
problem in cloud computing. Cloud computing services include
those such as Software as a Service (SaaS), Platform as a
Service (PaaS), Infrastructure as a Service (IaaS), and Data
as a Service (DaaS). In this context, interoperability
enables a service to communicate with another service
transparently. Among the solutions proposed in the
literature, a middleware can be used to intermediate such
communication and to mitigate the lack of interoperability
in cloud computing. For instance, the middleware MIDAS
(Middleware for DaaS and SaaS) provides transparent
interoperability between SaaS and DaaS. Although MIDAS
current version promotes syntactic interoperability,
semantic interoperability is only superficially addressed.
In collaboration with this project, we develop an OWL-based
ontology to formally represent the communication between
SaaS and DaaS, and discuss its strengths in providing
semantic interoperability on MIDAS. We conduct a set of
experiments to validate our ontology. We evaluate intrinsic
(consistency, correctness, acceptance) and extrinsic
(integration between ontology and MIDAS) issues. Results
provide evidence that a semantic MIDAS interoperability can
be enhanced by our ontology.
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| #5 - Ecossistemas de Negócio e Sistemas de Sistemas de
Informação 08/06 - 14h30 às 15h50 |
System-of-Systems Reliability: An Exploratory Study in a Brazilian Public Organization | Marcio Imamura (Federal University of the State of Rio de Janeiro - Brazil), Francisco Henrique Ferreira (Universidade Federal do Estado do Rio de Janeiro - Brazil), Juliana Fernandes (UNIRIO - Brazil), Rodrigo Santos (UNIRIO - Brazil) |
A System-of-systems (SoS) is defined as an arrangement of
independent systems that work together to accomplish
missions that could not be achieved by a single system in
isolation. SoS can be observed in several domains, including
mobility, healthcare, and safety. A significant concern of
SoS engineers refers to the constituent systems?
independence, given that they may decide to change the level
of contribution or abandon the SoS, decreasing the overall
reliability. In this paper, we performed an analysis of an
SoS running in a Brazilian public organization focusing on
identifying reliability issues. To do so, we first
characterized the SoS by identifying the missions,
constituent systems, relationships, and capabilities. We
further conducted a focus group and a survey with the SoS
engineering team to identify situations that decrease SoS
reliability and how they can be treated. Both the focus
group and survey allowed us to propose an initial mKAOS
extension that supports reliability analysis. We expected
that our findings and the proposed extension can assist SoS
engineers to realize some initial reliability issues.
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| Investigating Proprietary Software Ecosystem Governance and Health: An Updated and Refined Perspective | Luiz Costa (Universidade Federal do Estado do Rio de Janeiro - Brazil), Awdren Fontão (Federal University of Mato Grosso do Sul - Brazil), Rodrigo Santos (UNIRIO - Brazil) |
Although the approaches conceptualizing software ecosystems
(SECO) have gained more relevance since 2010, there are not
many studies addressing proprietary SECO. In a proprietary
SECO, organizations are concerned with keeping their assets
protected by intellectual property so that they are not
exposed publicly, preventing this information from being
used by competitors. Understanding how the governance
mechanisms works and how organizations handle incidents on
their platforms are real challenges in this scenario. In
this work, we report three main goals: i) providing an
update on SECO governance mechanisms and SECO health
metrics; ii) analyzing SECO classifications and evaluating
the evolution of proprietary SECO; and iii) exploring the
organization's strategies and investigating SECO incident
management process. To do so, a longitudinal literature
study was performed on SECO covering 2006 to 2015. As such,
we analyzed 422 studies from 2016 to 2020 and provided an
updated perspective based on seven research questions, as
well as a refined perspective on proprietary SECO and a
deeper understanding about incident management process. Our
findings reveal that governance strategies aimed to share
knowledge provides continuous innovation and increases
competitive advantage in the software market.
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| Business Model for Brazilian Indie Game Studios in Game Software Ecosystems | Bruno Xavier (Universidade Federal do Estado do Rio de Janeiro - Brazil), Davi Viana (Universidade Federal do Maranhão - Brazil), Rodrigo Santos (UNIRIO - Brazil) |
Context: The Software Ecosystem (SECO) strategy dominates
the digital game industry. The leading game companies
adopted SECO dynamics, forcing external actors (e.g., game
studios) to adapt to a highly competitive scenario.
Objective: Considering the significant growth of the
Brazilian digital games industry in the last years, this
study aims to present and evaluate a business model proposed
for the independent Brazilian game studios immersed in Game
SECO (GSECO) context. Method: We explained the proposed
model, and conducted 15 online interviews to capture
comments and suggestions. Three researchers applied the
Grounded Theory (GT) procedures to extract actions to
improve the business model. Results: Twenty-seven
suggestions to improve the proposed business model emerged.
Finally, we use the business model concepts and subdomains
to define the suggestions to be adopted, and identify
opportunities for future work. Conclusion: The first version
of the business model for independent studios in GSECO
reached a high level of relevance in its first evaluation.
Some interviewees highlighted the differential of the model
in directing the construction of a digital game business
contextualized in the Brazilian scenario and how the tool
can directly contribute to the maturity of the industry.
Finally, as future work, we identified the need to expand
the model for all subdomains and the evaluation's continuity
with actors from Brazil's various regions.
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| Mapping Organizational Tensions Using KIPO in Federated Information Systems: A Case Study in a Brazilian Bank | Nadja Antonio (Universidade Federal do Estado do Rio de Janeiro - Brazil), Roberto Dias (UNIRIO - Brazil), Paulo Malcher (UNIRIO - Brazil), Flavio Horita (Universidade Federal do ABC - Brazil), Rodrigo Santos (UNIRIO - Brazil) |
The management of several information systems (IS) faces
challenges with the number of existing, autonomous,
distributed, and heterogeneous databases. By the need for an
integrated access, these arrangements have been explored as
federated IS (FIS). FIS are affected by several situations
that generate tensions in their management. In order to
discover these organizational tensions, a qualitative case
study in a real context - bank credit - based on interviews
was conducted with stakeholders of a real FIS. Next, we
performed the scenario analysis with the data from the
interviews and used the GUT Matrix tool to analyze and
identify the tensions. Finally, a decision map to analyze
and identify the tensions and an ontology, based on the
Knowledge Intensive Process Ontology (KIPO), were used to
map the tensions in the management of bank credit SIF. The
results show that both the decision map and the developed
ontology can be used as a practical tool to support
practitioners in industry in the FIS management. As a
contribution to the FIS area, this work presents another
approach to support IS management focused on conceptual
modeling and knowledge intensive process decisions. In
addition, the developed ontology also allows the description
of tacit knowledge to support FIS managers in the
investigated context.
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| Efeitos da Complexidade dos Sistemas de Informação na Integração dos Fluxos de Assistência à Saúde Pública | Marcílio Souza-Júnior (CODAI/UFRPE - Brazil), Jairo Simião Dornelas (Universidade Federal de Pernambuco - Brazil) |
A proliferação da tecnologia da informação e comunicação e o
advento da Internet resultaram em uma mudança no nível de
complexidade inerente à sociedade e, consequentemente, às
organizações, acarretando em sistemas de informação cada vez
mais complexos e integrados. SI complexos são compreendidos
como uma classe especial de sistemas formados por um grande
número de subsistemas heterogêneos, caracterizados por
propriedades coletivas e emergentes, que interagem e
influenciam uns aos outros através de uma diversidade de
conexões e loops de feedback. Nesta perspectiva, os sistemas
de informação em saúde pública, compostos por diversos
subsistemas que necessitam interagir, são caracterizados
como complexos. A pesquisa objetivou analisar, na ótica da
teoria da complexidade, os efeitos da integração dos
sistemas de informação nos fluxos de assistência previstos
para o SUS. Foram mapeados 72 sistemas de informação em
saúde diferentes, os quais formaram uma rede densa e
inter-relacionada. Os resultados da pesquisa revelaram os
seguintes efeitos: que a auto-organização tende a diminuir o
nível de completude e detalhamento da informação que circula
no SUS; a coadaptação maximiza o acoplamento dos sistemas; a
fractalidade sobrecarrega as informações nos níveis
superiores (federal e estadual) do sistema; a emergência,
por outro lado, ajuda a criar estruturas e sistemas
inovadores.
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| #6 - Conceito, design e produção de Sistemas de
Informação 08/06 - 16h às 17h20 |
Designing Usability and UX with UXUG-AP: An Observational Study and an Interview with Experts | Aline Sousa (UFPR - Brazil), Natasha Valentim (Universidade Federal do Paraná - Brazil) |
Nowadays, there are several technologies (methods,
techniques, among others) that help agile development teams
to improve the Usability and User eXperience (UX) in their
projects. Usability and UX are relevant aspects of software
quality. In the literature, we find few technologies that
help to improve the Usability and UX jointly at the
beginning of agile process, mainly during the design phase,
where to perform changes is easier and cheaper. Therefore,
in our paper, we presented the technique User Experience and
Usability Guidelines for Agile Project (UXUG-AP), that aims
to support the Usability and UX design. UXUG-AP is composed
by categories, subcategories, and specific guidelines to
help the prototyping process. We also presented an
observational study with agile professionals. The study was
done to evaluate the ease of use, perceived usefulness and
the intention to future use from UXUG-AP. The results showed
that is necessary to have requirements well defined in order
to have a better use of the technique. In additional, we
presented an interview with experts in agile design which
provided their opinions about UXUG-AP. The interview results
showed that some designers are accustomed to evaluate their
projects after development, instead of avoiding usability
and UX issues at the beginning of process.
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| Internationalization Process for Micro and Small Software Companies: A Descriptive Study | Mariani Margarida Bento (UEL Universidade Estadual de Londrina - Brazil), Lucas Galhardi (State University of Londrina (UEL) - Brazil), Janaina Morais (State University of Londrina - Brazil), Jacques Duílio Brancher (UEL - Universidade Estadual de Londrina - Brazil) |
Micro and small companies face different challenges related
to entering international markets. Knowledge about these
aspects is essential for understanding how to start
internationalization activities. This information is present
in the literature and in agencies/programs that promote
international activities. This article presents a
descriptive documentary analysis of the internationalization
processes of software companies. To carry out the analysis,
scientific articles and internationalization guides were
found in the main internationalization incentive programs.
The results presented the 5 basic questions about the
internationalization process, namely: motivations, products
offered, how companies enter the international market, when
international expansion takes place, and the main countries
of entry according to the literature and guides of
internationalization. The organizational characteristics of
the companies were identified, the paths followed by the
software companies, services and how information is provided
by the incentive agencies.
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| Games as Information Systems | Geraldo Xexéo (UFRJ - Brazil), Eduardo Mangeli (Universidade Federal do Rio de Janeiro - Brazil), Farmy Silva (UFRJ - Brazil), Leandro Ouriques (Universidade Federal do Rio de Janeiro - Brazil), Rafael Monclar (UFRJ - Brazil), Luis Costa (University of UFRJ - Brazil) |
In this work, we formally build the construct of games as
information systems. Starting from models and definitions
that describe them, we present models that show game
elements: components, players, environment, and their
relations; as information systems elements. This paper also
presents the analysis of five games and their elements based
on that premise. As a ratification of our rationale, we
present tools and visions shared by both fields. The
presented premise and rationale could be easily linked to
video games but, moreover, they are valid to all forms of
games like tabletop games or sports.
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| A case study on the perceptions of I.T. professionals during the transition from a traditional to an agile process model | Thales Machado (Universidade Federal Fluminense - Brazil), Yule Trannin Ximenes (Universidade Federal Fluminense - Brazil), Vânia Neves (Universidade Federal Fluminense - Brazil), Luciana Salgado (UFF - Brazil) |
This paper aims to identify and analyze which individual
perceptions (behavior, feelings, difficulties, among others)
are more frequent in the transition process between
traditional and agile methods in the context of software
development in a large company. The motivation for this work
is due to the observation of the growing adoption of agile
work models by large companies and the human aspects
involved in this scenario. Thus, the particularity of this
research is to offer a perspective focused on the individual
aspect of each person involved in the process, allowing the
ideas and feelings formed through individual perceptions to
be identified and analyzed. This objective is achieved
through the qualitative analysis of the speech of four
professionals in the I.T. area of a large company in
relation to their perceptions about a transition from a
traditional development model to an agile development model.
To survey the interview questions, the GQM method was used
and an analysis of the collected data was carried out
according to procedures of the Grounded Theory method,
aiming to identify emerging topics among the views exposed
by the interviewees. Thus, the following topics were
highlighted in the context of the transition: perceived
benefits for the team, difficulties faced and solutions to
these difficulties.
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| Work Like Ants! Atta Plug-in 2.0: Dealing with Self-Organization Teams | Miguel Ecar (Universidade Federal do Pampa - Brazil), João Pablo S. da Silva (Federal University of Pampa - Brazil) |
Traditional software engineering approaches were developed
based on the old manufacturing process, in term of roles,
responsibilities, tasks and hierarchy. Modern approaches,
such as, Agile approaches, are based on a fusion of these
traditional approaches and the Agile Manifesto, which
changes the perspective of main software process objectives.
These approaches are designed to encourage self-management,
which may be challenging even in big or very small software
companies. This paper proposes a software engineering
complementary framework called Atta Plug-in 2.0 (Atta 2),
that is an approach inspired by a nature organization and
aims to deal with the difficulties of self-organization
issues. We performed a case study on a start-up company,
that follows Scrum guidelines, has a very small team and
maintain several projects at the same time. As the outcome,
we have a successfully running the Atta 2 and obtained gains
in term of self-organization, structure and visibility.
Based on this we advocate that Atta 2 improved Sprint
planning and execution, tasks creation and distribution and
slightly the quality of delivered artefacts. We also focus
that Atta 2 helped to integrate new team members and to
extract the best from the new ones and old team members. We
advocate that Atta 2, may have value to the community, once
it is a complementary option to aggregates value to well
known agile or traditional approaches. Thus, we concluded
that Atta 2 can be used jointly with other management
approaches, in order to promote the best-aggregated value.
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| #7 - Sociologia Digital 09/06 - 9h às 10h20 |
A Measurement Approach to the Bourdieusian Social Capital within Facebook Institutional Pages | Alan K.Gomes (Instituto Federal de Goiás - Brazil), Kaique Cunha (IFG - Brazil), Renata Luiza da Costa (IFG - Brazil) |
We present in this paper a novel measurement approach to the
Bourdieusian Social Capital (BSC) within Facebook
Institutional Pages (fanpages). Supported by Pierre
Bourdieuś Theory,we researched for guidelines to identify
and capture data related to sociability practices, for
instance actions such as Post, Like, Comment and Share. We
use such data to extract generalized sequential patterns by
modelling social interactions as sequences of actions. Next,
we also use such data to measure the frequency of occurrence
and the number of actions performed which it is part of each
sequence. These values are used to measure the effective
mobilization capacity of each page. Finally, the volume of
BSC accumulated within a page is measured by using the
effective mobilization capacity, the number of social
interactions and the number of followers. The results
obtained are aligned to the Bourdieuś Theory and our
measurements allow to compute the continuous sociability
effort of each fanpage to maintain and expand its BSC.
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| Analysis of the First Round of 2018 Government Election for the State of Rio de Janeiro Based on Twitter | Francis Rubin (UNIRIO - Brazil), Yuri Luz de Almeida (Universidade Federal do Estado do Rio de Janeiro (UNIRIO) - Brazil), Adriana Cesário de Faria Alvim (Universidade Federal do Estado do Rio de Janeiro (UNIRIO) - Brazil), Vânia Maria Dias (UNIRIO - Brazil), Rodrigo Santos (UNIRIO - Brazil) |
Social networks such as Twitter have become the main
platforms for political debate in the field of Information
Systems, making it an effective tool for candidates and
parties to promote campaigns and government projects before,
during and after the election period. In this context, this
study aims to understand the dynamics of campaigns in
Twitter during the first round of the government election in
the State of Rio de Janeiro, Brazil, in 2018, and whether
the electoral dispute was reflected in any way by activities
on such platform. The approach involved observing
candidates' and users' behaviors based on posts and
interactions. We also observed the presence of automated
accounts during the campaign, using the Botometer API and
cross-validating the collected data set for the selected
election period. Finally, for this state government
election, it was observed that the most active and most
cited candidate was not the first one in the dispute.
However, it was possible to visualize the sudden change that
occurred in the last days of the electoral race
characterized in the collected data.
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| How much do I Stand Out in Communities Q&A? An Analysis of User Interactions based on Graph Embedding | Paulo Gimenez (Universidade Federal do Estado do Rio de Janeiro - Brazil), Sean Siqueira (Universidade Federal do Estado do Rio de Janeiro (UNIRIO) - Brazil) |
The interactions in Communities Question Answer (CQA)
havehigh dimensionality, generating dispersed and vast
informationabout the users behavior. Understanding this
behavior and whatcharacteristics qualify users as the best
contributors is still a chal-lenge. In this paper, we rely
on Persuasion Theory to identify userswho stand out at CQA.
We use graph incorporation for reducingdata dimensionality
to analyze six communities. As a result of theexperiments,
we found that there is a strong correlation betweenthe
intensity of user activity and reputation, but it is not a
linearrelationship. Also, contrary to the literature, the
best contributorsare not the top 10-20%, but it varies from
community to commu-nity.With the results of this work, users
can design better strategiesfor collaboration, headhunters
can identify best talents, marketingcompanies can identify
influencers and developers can adapt theirsocial reputation
algorithms.
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| Exploring Interactions in YouTube to Support the Identification of Crime Suspects | Erick Florentino (Instituto Militar de Engenharia - Brazil), Maria Claudia Cavalcanti (Instituto Militar de Engenharia - Brazil), Ronaldo Goldschmidt (Instituto Militar de Engenharia - Brazil) |
The identification of crime suspects on social networks
(e.g. pedophilia, terrorism, etc.) has been one of the most
relevant topics in social network analysis. The vast
majority of methods are based on the extraction of textual
content, senders and receivers from the network, but do not
take into account the interactions that occur inside the
textual content. The present work raises the hypothesis that
these interactions, if taken into consideration, can lead to
better results when it comes to identifying crime suspects.
To validate this hypothesis, an algorithm named TROY was
developed to define and represent the interactions that
occur in Youtube. Then, it is proposed as the first stage of
the INSPECTION method, which analyzes the textual content
exchanged on a social network, in order to identify crime
suspects. This method is based on the use of a controlled
vocabulary with terms categorized according to a certain
domain (for example, pedophilia, cyberbullying, terrorism,
etc.). Experiments on the pedophilia domain were carried out
applying the INSPECTION method to Youtube. The first stage
of the method may use any algorithm that is able to extract
social interactions. In this case, we used TROY and another
algorithm called CRAWLER, which does not take into account
the previously mentioned interactions. The results showed
that the TROY algorithm obtained better results than the
CRAWLER algorithm, validating the hypothesis raised.
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| An analysis of violence against women based on victims' reports | Isabella Corrêa (Federal University of Uberlandia - Brazil), Elaine Faria (Federal University of Uberlandia - Brazil) |
Every 2 seconds, a woman is a victim of physical or verbal
violence in Brazil, and every 1.4 seconds a woman is a
victim of harassment. Due to the growth of anthropology and
notions of feminism, violence against women have been seen
as a public problem. This work proposes a method to analyse
reports of violence against women using text mining
techniques in order to characterize the aggression or the
aggressor. We collected data from electronic newspapers,
sites, and social networks, pre-processed them, extracted
topics from the data using the Latent Dirichlet Allocation
(LDA), and classified the text according the frequency of
occurrence (constant or sporadic) using the Naive Bayes
algorithm. Among the analyzed cases, most of them indicate
that the case of violence was sporadic, that is, it happened
once. The results indicate that the majority of reports of
constant violence - meaning that they happen frequently -
are related to someone close to the victim, such as a family
member, spouse or friend. Words such as "speak", "say" and
"report" are frequent, indicating the victim's willingness
to express the aggression. When categorizing documents into
topics, it is possible to find scenarios of family abuse
executed by the father or a brother, and also the presence
of sexual violence as one of the aggressions suffered.
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| #8 - IA e Sociedade 09/06 - 13h às 14h35 |
Ethical Guidelines and Principles in the Context of Artificial Intelligence | José Antonio Siqueira de Cerqueira (Universidade de Brasília - Brazil), Edna Canedo (Universidade de Brasília - UNB - Brazil), Heloise Tives (Instituto Federal do Paraná - IFPR - Campus Palmas - Brazil) |
O interesse em sistemas baseados em Inteligência Artificial
(IA) vem ganhando força em um ritmo acelerado, tanto para
times de desenvolvimento de software quanto para a sociedade
como um todo. Este trabalho tem como objetivo identificar as
diretrizes e princípios éticos para sistemas baseados em
Inteligência Artificial. Foi adotado a metodologia Design
Science Research com o intuito de compreender as diversas
diretrizes e princípios existentes na literatura. A partir
do cenário atual é apresentado o corpo de conhecimento no
campo da ética em Inteligência Artificial, com o propósito
de auxiliar os desenvolvedores e \textit{Product Owners} a
identificar as diretrizes e os princípios éticos existentes
na literatura para que possam ser utilizados durante o
processo de desenvolvimento de software. Assim, este
trabalho irá contribuir com as diversas partes interessadas
no desenvolvimento de sistemas éticos no contexto de IA,
tais como: legisladores, eticistas, usuários, organizações,
cientistas de dados, times de desenvolvimento, entre outros.
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| Combining clustering and classification algorithms for automatic bot detection: a case study on posts about COVID-19 | Diego Bezerra Lira (Universidade de São Paulo - Brazil), Fernando Xavier (Universidade de São Paulo - Brazil), Luciano Digiampietri (University of Sao Paulo (USP) - Brazil) |
In the last decade, there has been a great insertion of bots
in several social media. Among the potentially harmful
effects of these software agents, there are: the spread of
computer viruses and different internet scams, and the
spread of fake news, with emphasis on political-electoral
and public health-related news. This work presents a new
approach for bots' detection on Twitter, combining the use
of feature selection, clustering, and classification
algorithms. The proposed approach was compared with more
conventional ones (for example, without the use of
clustering) and the premise used in this work proved to be
true: the use of clustering, together with the features
selection, allowed the production of better classification
models in order to identify not only the bots who have an
activity profile considered non-human (extremely active on
Twitter) but also other bots whose profiles are more similar
to humans' ones. The best results of automatic detection of
bots reached an overall accuracy of 96.8% and F1 score equal
to 0.622. As an additional advantage, these values were
achieved by decision-tree models, which can be considered
explainable artificial intelligence models.
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| The Future of Autonomous Cars in the Daily Life of Cities: A Systematic Literature Review | Anderson Siqueira (UFPE - Brazil), Eric Araújo (Universidade Federal de Pernambuco - Brazil), Gustavo Lopes (UFPE - Brazil), Pedro Santos (UFPE - Brazil), Simone Santos (UFPE - Brazil) |
An autonomous car is a driverless vehicle for the purpose of
navigating autonomously and safely over the earth's surface.
Interest in this type of transport has increased
significantly in recent years and it is possible that the
number of these vehicles on the streets will increase,
changing the daily lives of cities. In this context, this
work aims to understand the technological limitations and
impacts of using autonomous cars, observing the feasibility,
adaptation, traffic legislation, and perceived benefits.
Following the method of systematic literature review
proposed by Kitchenham, 69 primary studies from relevant
bases in the area of Technology were analyzed. These studies
showed some evidence by indicating, for example, that there
will be a change in the way people relate to cars,
particularly in terms of sharing them, in addition to
impacts on urban mobility.
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| Social bots detection in Brazilian presidential elections using natural language processing | Gabriel Ferreira (University of São Paulo - Brazil), Bianca Lima Santos (USP - Brazil), Marcelo Torres do Ó (University of São Paulo - Brazil), Rafael Rodrigues Braz (University of Sao Paulo - Brazil), Luciano Digiampietri (University of Sao Paulo (USP) - Brazil) |
In recent years, we have seen an expressive increase in the
number of users participating in social networks. Social
networks, in general, have proven to be quite effective in
spreading opinions and influencing people as messages can be
shared with thousands of people in a few minutes. However,
this ability has been exploited in a negative way, to
manipulate opinions and spread misinformation and/or fake
news. A common way of doing this is through the use of bots,
computer algorithms that mimic human behavior, disseminating
topics and news, demonstrating support or rejection to
personalities, and interacting with other users, which can
impact even democratic discussions. For this reason, the
present work aims to show and compare approaches for
detecting social bots using Twitter user's posts data
extracted during the Brazilian presidential election period
of 2018. Using a dataset of Twitter users labeled as bots or
humans, this research applies five natural language
processing (NLP) techniques to extract characteristics from
the content of the user's messages on the social network. In
order to analyze the impact of features extracted through
NLP in the task of detecting bots, five different
classifiers were tested including pre-processing techniques
and feature selection. The best results were achieved
through a union of all the extracted features using the
Random Forest classifier, achieving an accuracy of 0.91 for
the bot class and AUC of 0.83.
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| Methods and Challenges in Social Bots Detection: A Systematic Review | Daniel Morais (Universidade de São Paulo - Brazil), Luciano Digiampietri (University of Sao Paulo (USP) - Brazil) |
Social bots are automated users who make use of social
networks to produce content and interact with network users,
in order to mimic or attempt to alter user behaviors, with
the purposes, among others, of spreading spam and malicious
content, violate users privacy or mislead information in
order to influence financial markets or electoral disputes,
causing numerous losses. Detecting these bots is a major
challenge since, as detection mechanisms evolve, its hiding
properties are also enhanced to avoid such mechanisms,
either by more sophisticated strategies for emulating real
users or by organizing groups of bots in sophisticated
networks with the same purpose (botnets). This paper
presents a survey about social bot detection approaches,
considering the techniques used, the set of characteristics
considered for the classification as well as the target of
identification (individual or botnets). The main open points
identified as well as possible advances in research in the
area are also discussed.
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| Facial Detection in Uncontrolled Environments: Systematic Literature Review | André Ribeiro de Moraes (University of São Paulo - Brazil), Clodoaldo Lima (University of São Paulo - Brazil) |
Facial detection is an extremely important topic in
biometrics. In particular, its application in uncontrolled
environments presents a great challenge for the various
existing techniques. This work aims to present and evaluate
recent studies on facial detection applied in uncontrolled
environments through a systematic review of the literature
that addresses what are the main techniques and bases of
faces used, as well as what are the main uncontrolled
scenarios explored in them. Were formulated three research
questions and 85 papers were selected for analysis. Based on
the analysis of these works, it can be concluded that the
techniques based on convolutional neural networks are the
most explored techniques in the literature and that the FDDB
face database is the most used in the experiments and
specific scenarios present in uncontrolled environments, as
occlusion and variation of illumination, are still little
investigated.
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| #9 - Gestão Organizacional e Gestão de TI 09/06 - 14h45 às 16h20 |
Evolution and Tensions in the Formation of an Information Infrastructure: Case Study of the Integrated Management System of the Federal University of Rio Grande do Norte | Larrissa Dantas Xavier da Silva (Universidade Federal da Paraíba - Brazil), Gustavo Motta (UFPB - Brazil) |
The objective of this research is to study, from the
theoretical perspective of information infrastructures (II),
the evolution and socio-technical tensions in the formation
of the Integrated Management System of the Federal
University of Rio Grande do Norte, with significant use in
the area of education Brazilian higher education. The
research is based on an exploratory qualitative strategy,
using the case study as a method. The methods for data
collection were three: collection of documents, interviews
and questionnaires. For the stage of selection, analysis and
interpretation of the data, a framework was developed that
was based on the theoretical foundations of the II and its
objective is to systematize the analysis of the results. As
a result of this research, it is possible to identify the
process of how the evolution and tensions suffered by the
GIS occurred and occurs, as well as an analysis framework
that can be used in the continuation of this work and for
the scientific community.
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| On the modernization of systems for supporting digital transformation: A research agenda | Pablo Leon (Universidade Federal ABC - Brazil), Flavio Horita (Universidade Federal do ABC - Brazil) |
Digital transformation is changing the attitudes of
companies to creating value for customers and, this requires
making alterations in their working models, organizational
structure and technological systems. However, companies have
either legacy systems or monolithic systems, which raises a
complex problem since there is a need for technological
adaptability to meet the commercial demand for the creation
of new digital products or services. In this context, this
article conducts a systematic mapping study to assess how
far the current literature investigates modernized systems
that enable digital transformation to take place in
companies. The results suggest there is a conspicuous gap
with regard to studies that explore modernization models
with integrated systems, or can ensure these systems can
evolve without compromising the business. The study also
finds gaps in the examination of methods or architectural
models, which allow modernized systems to evolve gradually
without interrupting the business activities.
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| SINIS-LA Method for IT Alignment Considering Service Level Management | Eduardo Ferreira (UNIRIO - Brazil), Bianca Trinkenreich (NAU - USA), Monalessa Perini Barcellos (Universidade Federal do Espírito Santo - Brazil), Gleison Santos (Unirio - Brazil) |
Context: Organizations have to align a wide variety of
organiza-tional goals and strategies to achieve business
objectives, grow, and survive. In addition to ensuring the
alignment between strategies in place and indicators with
business objectives, IT service organizations must keep the
quality of service by fulfilling Service Level Agreements
(SLA) sealed with their clients. Objec-tive: We present
SINIS-LA, which supports elicitation, alignment, and
monitoring of business objectives, indicators, and
strategies focused on controlling SLA of the IT services
provided. Method: We created SINIS-LA by applying Design
Science Research (DSR). Results: SINIS-LA was used by the IT
service management team at an IT service organization. By
using SINIS-LA the team achieved IT alignment and monitored
it. SINIS-LA was considered applica-ble for identifying,
reviewing, and monitoring service objectives, strategies,
indicators, and related SLA. Conclusion: The results showed
evidence that SINIS-LA supports the definition and
monitoring of the alignment of objectives, strategies,
indicators, and SLA in an IT service organization. (Artigo
em Português)
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| How has process assessment been automated by organizations? A systematic literature mapping | Jean Hauck (Universidade Federal de Santa Catarina - UFSC - Brazil), Maurício Galimberti (Universidade Federal de Santa Catarina - Brazil), Augusto Zwirtes (Federal University of Santa Catarina - Brazil), Jacyara Bosse (Federal University of Santa Catarina - Brazil) |
Organizational process improvement initiatives typically
apply some kind of process assessment. Even partial
automation of these process assessments can be beneficial.
In this sense, the aim of this study is to investigate the
state of the art in automated process assessment. A
systematic literature mapping is performed in order to
answer the research question: What are the approaches to
automated process assessment? Thus, the state of the art is
analyzed following the steps of protocol definition, search
execution, study selection and data extraction and
synthesis. We found 16 studies that directly or indirectly
use some kind of automated process assessment support. The
approaches reported in these studies cover most of the steps
expected in typical process assessments and used nine
different software tools to support these steps. The main
observed results of process assessment were reduction of
effort, time and complexity and automated assessment
feedback. There are two major contributions of this
research: a comprehensive and structured overview of the
state of the art in automated process assessment,
contributing to the knowledge organization of this field;
and an initial guide to organizations that want to apply
efforts to automate their process assessments in choosing
the tools, techniques and approaches, and knowing the
expected outcomes of this kind of initiative.
|
|
| On the use of online clustering for anomaly detection in trace streams | Renato Vertuam Neto (Universidade Estadual de Londrina - Brazil), Gabriel Tavares (Università degli Studi di Milano (UNIMI) - Italy), Paolo Ceravolo (Universita degli Studi di Milano - Italy), Sylvio Barbon Junior (Universidade Estadual de Londrina - Brazil) |
Identifying anomalies in business processes is a challenge
organizations face daily and are critical for their
operations data flow, whether public or private. Most
current techniques face this challenge by requiring prior
knowledge about business process models or specialists
intervention to support the usage of state of the art
methods, such as supervised machine learning. Also, the
techniques tend to perform offline towards achieving
consistent predictive results. In this work, we propose
identifying the effectiveness of an online clustering
method, particularly Autocloud. This algorithm is able to
perform anomaly detection in trace streams meeting real-life
requirements. Autocloud is an autonomous, evolutionary,
recursive online clustering algorithm that requires little
memory to provide insights from anomalous patterns in
real-time. Moreover, this clustering algorithm does not
require previous training or even prior knowledge from the
application domain. Experiments were carried out with six
processes schemes, six different anomalies over 1,000, 5,000
and 10,000 event traces, generating a total of 630 datasets.
The experiments confirmed the algorithms ability to detect
anomalies in those event traces, paving the way for more
reliable information systems grounded on an automatic
conformance checking of desirable business process
execution.
|
|
| An Agile Data Warehouse Virtualization Framework for ROLAP Server | André Luís Menolli (Universidade Estadual do Norte do Paraná - UENP - Brazil), Ricardo Coelho (UENP - Brazil), Glauco Silva (Universidade Estadual do Norte do Paraná - Brazil), Elielson Barbosa de Souza (Universidade Estadual do Norte do Paraná - Brazil) |
In order to adapt to a competitive business scenario, the
decision-making needs to be fast and reliable. In this
panorama, agile business intelligence emerges as a resource
to provide agile solutions. To achieve agile business
intelligence solutions, organizations consider real-time
data warehousing a powerful technique. Thus, we propose in
this paper a framework based on data warehouse
virtualization and real-time data warehousing concepts,
called Agile ROLAP. The framework is comprised of an
approach designed to be compatible with the main
consolidated DW concepts. Furthermore, a set of components
that enable the deployment of each step of the Agile ROLAP
process was implemented. We evaluated our proposed approach
in an experimental study where we deployed dimensional
models from three distinct databases. It was analyzed the
approach viability and the performance through query
performance. The results indicate that the approach is
viable, and the performance is satisfactory for no very
large databases.
|
|
| #10 - Segurança da Informação e LGPD 09/06 - 16h30 às 17h25 |
Understanding the information security culture of organizations: Results of a Survey | Pedro Santos (UFPE - Brazil), Mariana Peixoto (Universidade Federal de Pernambuco - Brazil), Jéssyka Vilela (Universidade Federal de Pernambuco - Brazil) |
Context: A strong information security culture in
organizations contributes to reduce incidents related to
leaks of sensitive and private information. Considering that
one of the main factors that cause such leaks is human
action, it is necessary to evaluate the current state of
organizations culture.Objective: This work aims to identify
methods for assessing the culture of information security in
organizations and to characterize the current state of this
topic. Method: We conducted a survey using an evaluation
instrument that includes dimensions of the information
security culture pro- posed in the literature. Results: The
survey received 75 responses, mostly from employees of
private institutions. We observed that there is a need for
training of employees on information security, and there is
incongruity between knowing, understanding and ap- plying
the procedures described in the information security policy.
Conclusions: This work provided an understanding of the
current status of the information security culture in
organizations whose re- sults can be expanded and used in
future studies to improve security practices in
organizations.
|
| Are My Business Process Models Compliant With LGPD? The LGPD4BP Method to Evaluate and to Model LGPD aware Business Processes | Eric Araújo (Universidade Federal de Pernambuco - Brazil), Jéssyka Vilela (Universidade Federal de Pernambuco - Brazil), Carla Silva (Universidade Federal de Pernambuco - Brazil), Carina Alves (UFPE - Brazil) |
Context: Data privacy and data security became a priority
among the problems faced by many Brazilian organizations
that should be compliant with the Lei Geral de Proteção de
Dados Pessoais (LGPD). This law defines the privacy rights
on user data and penalties to the ones that break it.
Problem: In a compliance program, business processes are of
fundamental importance since they are the most important
pillar of information security. However, an approach to
guide companies to assess and achieve compliance with LGPD
on their business processes is missing. Objective: This work
propo- ses the LGPD4BP (LGPD for Business Process) method,
which is composed by an evaluation questionnaire and a
modelling method with a modelling patterns catalog. Method:
To develop LGPD4BP, we carried out a literature review, an
analysis of privacy laws, in particular the LGPD, and
relevant works on the area. Results: The method was applied
on a case study of Colégio de Aplicação from Federal
University of Pernambuco and validated by a postgradu- ate
class which applied the method and answered a questionnaire
about easiness and completeness of the method. Conclusions:
The results from students evaluations showed that the most
hard step is the business process modeling and not the
components from the proposed method.
|
|
| IoT solution information security certification conceptual framework - On improving the transparency and accountability of IoT Solutions through an Open World perspective | Luiz Duarte (FACTI - Brazil), José Prestes (FACTI - Brazil) |
The rapid growth of Internet of Things (IoT) solutions
development and the rise of agile development utilization,
combined with the so-called ?low touch economy? and the
recent discussions on privacy and data protection brought
several demands related to Information Security. Despite the
existence of several efforts ? either academic or not ?
focused on the definition and implementation strategies for
certification of Information Security models designed for
Information Technology and Communications (ICT) solutions,
these aren't widely adopted. In addition, there are
significant differences between typical IoT solutions and
ICT solutions as traditionally presented, which ends up
demanding different certification strategies. Continuous and
more dynamic certification models (using cutting edge
technologies such as blockchain, self-regulation, analytics,
and artificial intelligence) are demanded in this context.
This work discusses more effective forms of certification,
using innovative edge concepts and technologies, at first
aiming to identify a set of inhibiting factors, offenders,
challenges or issues that need to be addressed correctly
when developing an effective large-scale security
certification model.
|
|
| #11 - Identificação, recomendação e predição 10/06 - 8h às 9h35 |
Improving researcher's area of expertise identification using TF-IDF Characters N-grams | Felipe Fonseca (Universidade de Sao Paulo - Brazil), Luciano Digiampietri (University of Sao Paulo (USP) - Brazil) |
As the academic information on the internet became broadly
available in the shape of academic social networks and
academic profiles, its usage to help to resolve tasks like
the discovery of specialists in a given area, identification
of potential scholarship holders, or suggestion of
collaborators, for example, had a growth in importance and
relevance. In the case of academic social networks, the
Brazilian government created the Lattes Platform in order to
manage academic data from Brazilian researchers as well as
use it to help in the evaluation of researchers and groups
of researchers. However, in order to use the Lattes Platform
information to help in the aforementioned tasks, it is
important to check the quality of the data, because most of
it is declared by the users and does not have any
verification of its veracity, specially regarding the
declared main expertise area. Thus, this article explores
the usage of machine learning techniques to recognize the
main areas of expertise of researchers using several
numerical representations to represent its scientific
production titles as data source for the algorithms. We have
been able to surpass the current state-of-art results to
resolve this problem by using a TF-IDF character n-gram
representation for the text in the titles, achieving an
accuracy of 95.91%.
|
| Applying a post-processing strategy to consider the multiple interests of users of a Paper Recommender System | Nathália Locatelli Cezar (UDESC - Brazil), Caroline Sala de Borba (UDESC - Brazil), Daniel Lichtnow (Universidade Federal de Santa Maria - Brazil), Isabela Gasparini (Universidade do Estado de Santa Catarina (UDESC) - Brazil) |
Currently, the amount of information available to Web users
is very large, and this situation is similar for scientific
communities when searching for articles for their academic
research. Recommender Systems (RSs) can be a solution to
this problem, suggesting items according to the user's
profile and interests. The increase in the impact and scope
of recommendations in the users' lives, leads to the result
on the ethical issues involved in the generation of
recommendations and indicators for visualizing the results
of the algorithms found. This paper presents a
Recommendation System for the Human-Computer Interaction
(HCI) community, indicating articles from the Brazilian
Symposium on Human Factors in Computing Systems related to
the user's profile applied to a post-processing strategy.
After the development of the SR and implemented in a Web
environment, results were obtained on the impact that the
tool had on the community, demonstrated through the
evaluation of the system.
|
|
| Fraud Detection in Social Commerce: combining structured attributes and images | Apolo Takeshi (Instituto Militar de Engenharia BRAZIL - Brazil), Karla Figueiredo (UERJ/PUC-Rio - Brazil), Ronaldo Goldschmidt (Instituto Militar de Engenharia - Brazil) |
Social Commerce has risen and evolved in the last years due
to changes either
in e-commerce or social networks applications. On top of
that, the number of
online ads and transactions in Social Commerce has grown.
This environment is
attractive to either good users and bad users. The bad users
cause harm to their
victims by making them lose money or suffer psychological
damage. Since the volume
of transactions is high and the fraud occurrence is low, the
manual detection is
highly inefficient (too much resource required for low
detection) and unscalable.
The existing solutions for automatic fraud detection in
Social Commerce are based
on structured information available in ads such as price,
product type, brand,
new/used, among others. However, such solutions ignore
possible fraud signs from
the ads' images that exhibit the products sold. Therefore,
this work aims to evaluate
if combining structured information and images available in
the ads provides more
effective models than the ones considering only structured
information. To this end,
it proposes FDSC, a method that combines information
obtained from ads' images
through deep learning with structured information available
in the corresponding ads,
in order to detect fraud in Social Commerce. Experimental
evidence shows an incremental
opportunity of 7% in F-score by the adoption of FDSC.
|
|
| REDIC: Recommendation of Digital Influencers of Brazilian Artisanal Cheese | Nedson Soares (Federal University of Juiz de Fora - Brazil), Regina Braga (Universidade Federal de Juiz de Fora - Brazil), José Maria David (Universidade Federal de Juiz de Fora - Brazil), Kennya Siqueira (Embrapa - Brazil), Thallys Nogueira (Universidade Federal de Juiz de Fora - Brazil), Emerson Campos (Embrapa Gado de Leite - Brazil), Emerson Moraes (Instituto Federal Sudeste de Minas Gerais - Brazil), Priscila Goliatt (Universidade Federal de Juiz de Fora - Brazil) |
The advancement of information technology makes social media
networks increasingly gain popularity and insertion in daily
life aspects. Thus, the analysis of people's opinions and
habits is essential for many companies' modernization and
survival. On social networks, people generally share their
views and visit other people's opinions about products,
news, and trends, and the concept of "influential person"
emerges. An influential person (or social media influencer)
today is considered a marketing strategy. The Brazilian
dairy industry has been standing out every year, and one of
the promising areas is cheese production. The 2019 annual
report by ABLV (Associação Brasileira da Indústria de
Lácteos Longa Vida) indicates that there was an increase of
32% in liters of milk destined for cheese production in
Brazil compared to 2009, which is greater than the
percentage growth of milk UHT (26%). Intending to collect
information from social networks to find influential people,
who appreciate artisanal cheeses, and who can influence
potential new consumers, this work presents REDIC, a
proposal for analysis, recommendation, and content
propagation network, considering the Brazilian artisanal
cheese market. REDIC classifies the user's content and
interactions using ontologies and complex networks, deriving
new relationships and allowing interconnecting information
on different social networks. REDIC was developed to support
the market research of artisanal cheeses in a renowned
Brazilian agribusiness institution. The results obtained
through feasibility studies showed that the solution allows
the search for communities of digital influencers who talk
about artisanal cheeses and the dissemination of information
on the network.
|
|
| Construction of Mortality Tables using LSTM Neural Networks | Jose Nascimento (Pontifícia Universidade Católica do Rio de Janeiro - PUC-Rio - Brazil), Tatiana Escovedo (Pontifícia Universidade Católica do Rio de Janeiro - Brazil) |
As Tábuas de Mortalidade são tabelas estruturadas contendo
dados epidemiológicos traduzidos em probabilidades de morte
associada a cada idade de vida, utilizadas no mercado de
previdência e seguros. Este artigo discorre sobre a
aplicação do modelo de redes neurais para a construção de
tábuas de mortalidade futuras, tendo como comparação o
modelo Lee-Carter de construção de tábuas de mortalidade. O
modelo de Rede Neural proposto foi a Rede LSTM. Esta rede
tem como característica o processamento sequencial de dados
ao longo do tempo. Os dados para a predição são oriundos de
dados históricos de tábuas de mortalidade elaboradas pelo
IBGE. Os resultados apontam para uma utilização razoável de
Rede Neurais LSTM como ferramenta auxiliar de predição das
probabilidades de morte.
|
|
| An Entity Resolution Approach Based on Word Embeddings and Knowledge Bases for Microblog Texts | Luan Souza (Universidade Federal de Ouro Preto - Brazil), Anderson Ferreira (Universidade Federal de Ouro Preto - Brazil) |
In the context of information systems in data management,
several proposals for entity resolution usually perform on
structured data or on long texts that contains contextual
information. In short texts, such as microblogs, the lack of
context may complicate the disambiguation of named entities
mentioned in these texts. On the other hand, word embeddings
have been demonstrated as promising techniques for enriching
contextual information or being used on similarity
estimations. Thus, in this work, we propose an approach for
disambiguating named entities gathered from short texts,
linking them to documents in a knowledge base using word
embeddings and three strategies to find the correct
document. Strategy 1 is based on other entity names in the
short text. Strategy 2 exploits categories in candidate
documents to be linked to the names. And Strategy 3 is based
on similarity between documents associated to other named
entities from the text and the candidate documents to be
linked to the target named entity. In our experimental
evaluation, our proposed approach outperforms other
approaches usually used in the entity resolution task.
|
CTDSI & CTCCSI
| Categoria | Título | Autores (Afiliação) | Resumo |
|---|---|---|---|
| Doutorado 07/06 - 13h às 14h20 |
Coral: A Framework based on Social Network Analysis to Support the Startup Ecosystem Management |
Autor: Rafael Escalfoni (PPGI/UFRJ) Orientadora: Jonice Oliveira (PPGI/UFRJ) |
Startup ecosystems are business communities continually
unfolding where different actors interact in
symbiotic activities to create mutual benefits. A smart
startup ecosystem demands an understanding of
the interests, capabilities, and affinities among members to
take harmony and ensure the group's prosperity.
The absence of such mechanisms would compromise the
innovation process efficiency, and the environmental
imbalance might lead to behaviors harmful to each
participant's community to identify convergences and
possible partnerships that can help in the development of
new business. From this problem, our main
contribution is the Coral framework - a social network
analysis approach to assist in evaluating
relationships in communities. Based on a set of two
observational studies in industrial cases, we
verified that it is possible to describe the social and
material aspects needed to enhance integration
and provide greater network efficiency.
|
| Defining and Providing Pragmatic Interoperability: The MIDAS Middleware Case |
Autor: Elivaldo Lozer Fracalossi Ribeiro (UFBA) Orientadoras: Daniela Barreiro Claro (UFBA) e Rita Suzana Pitangueira Maciel (UFBA) |
Modern information systems are becoming increasingly complex
due to the need to combine heterogeneous software.
A common understanding of interoperability issues is not a
trivial task since complex systems may contain many
independent software components. This work presents a
Conceptual frAmework for Pragmatic InTeroperAbiLity
(CAPITAL) to enhance a pragmatic interoperability unified
definition. We evaluate our framework through a
modeling and coding guide, a controlled experiment, and
applying CAPITAL in the Cloud Computing domain.
Results suggest that CAPITAL positively influences the
understanding, modeling, and codification of pragmatic
interoperability solutions, facilitating pragmatic
interoperability standardization opportunities.
|
|
| Towards Automatic Fake News Detection in Digital Platforms: Properties, Limitations, and Applications |
Autor: Julio C. S. Reis (UFMG) Orientador: Fabrício Benevenuto (UFMG) |
Digital platforms have dramatically changed the way news is
produced, disseminated, and consumed in our society.
A key problem today is that digital platforms have become a
place for campaigns of misinformation that affect the
credibility of the entire news ecosystem. The emergence of
fake news in these environments has quickly evolved into
a worldwide phenomenon, where the lack of scalable
fact-checking strategies is especially worrisome. Thus,
automatic
solutions for fake news detection could be used as an
auxiliary tool for fact-checkers to identify content that is
more likely to be fake, or content that is worth checking.
In this context, we investigate practical approaches for
the automatic detection of fake news in digital platforms.
First, we survey a large number of recent and related works
as an effort to implement all potential features to detect
fake news. We propose novel features and explore labeled
datasets proposing new ones to assess the prediction
performance of current supervised machine learning
approaches.
Our results reveal that these proposed computational models
have a useful discriminative capacity for detecting fake
news disseminated in digital platforms. We then propose an
unbiased framework for quantifying the informativeness of
features for fake news detection. As part of our proposed
framework, we present an explanation of factors contributing
to model decisions, thus promoting civic reasoning by
complementing our ability to evaluate digital content and
reach
warranted conclusions. We also analyze features and models
that can be useful for detecting fake news from different
scenarios: the US and Brazilian elections. Finally, we
propose and implement into a real system a new mechanism
that
accounts for the potential occurrence of fake news within
data, significantly reducing the number of content pieces
journalists and fact-checkers have to go through before
finding a fake story.
|
|
| Mestrado 07/06 - 14h30 às 15h50 |
Avaliação da Qualidade de Sistemas de CRM |
Autor: Jhonatan B. Boarim (COPPE/UFRJ) Orientadora: Ana Regina C. da Rocha (COPPE/UFRJ) |
Companies need to manage expectations and relationships with
their customers. Customer relationship management (CRM)
systems provide tools to support these tasks. Evaluating and
selecting a CRM system is not a trivial task. This work
identified the important characteristics and
sub-characteristics of quality for CRM systems in a
Literature Systematic
Mapping, comparing results obtained with the software
quality models from the 25010 ISO/IEC standard and
conducting a
survey in the Brazilian CRM systems industry. Finally, an
available CRM on the market was evaluated to verify the
feasibility of evaluating CRM products using the set of
identified characteristics.
|
| Characterizing Reactions and Comments Associated with News on Facebook |
Autor: Samuel S. Guimarães (UFMG) Orientador: Fabrício Benevenuto (UFMG) |
News consumption is increasingly done on social media
websites. In this environment, all types of entities and
people present
themselves as news sources. These new outlets might focus on
specific audiences, and some exhibit the news less
objectively.
Facebook is one of these platforms, which categorizes an
extensive group of pages as a kind of news media. To analyze
this
phenomenon, it is crucial to characterize all pages that
disseminate information in this ecosystem. Our main
objective is to
create an in-depth diagnostic of news stories and opinions,
focusing on Brazilian Facebook. Our contributions are: (i) a
new
method to measure the political bias of Facebook pages on a
given country, and (ii) a detailed characterization of a
comprehensive sample of these pages.
|
|
| Study and definition of project attributes for selection of testing techniques for concurrent software |
Autor: Italo Santos (ICMC/USP) Orientadoras: Simone do Rocio Senger de Souza (ICMC/USP) e Silvana Morita Melo (UFGD) |
The choice of testing technique to be adopted in a software
testing project persists based on the tester's knowledge and
often
does not consider all of the testing techniques available in
the industry or academia. Therefore, a characterization
scheme was
proposed and implemented in the SeleCTT tool, which is
composed of a set of attributes that considers
characteristics of
concurrent programs, and they are used to calculate which of
these attributes are suitable to guide the selection of
testing
techniques for a particular software project. [Objective:]
The selection of the testing technique at each stage of a
software's
life cycle depends on many factors. Our work aims to help
testers to select a better testing technique according to
the
characteristics of a software project, contributing to the
selection of the most suitable testing technique to increase
the
efficiency of the software test execution process, which in
turn influences the development and delivery of a more
robust and
quality product. Considering that the testing techniques are
complementary, another goal is to allow a set of testing
techniques
to be selected and not just one. [Methodology:] To achieve
this goal, a systematic mapping study was conducted to
identify and
analyze papers that represent the current state of the
literature about testing techniques selection. We surveyed
software testing
practices carried in Brazil software companies and
identified the testing practices to know and have an
overview on the latest
testing techniques, tools, and metrics used, the challenges
faced by testers, and the selection testing technique
process.
With this study, it is expected to specify project
attributes that can be used to improve the existing
recommendation system
in the SeleCTT tool and propose ways of combining testing
techniques, contributing to industry and academia, and bring
insights
into the context of testing techniques selection.
|
|
| Graduação 07/06 - 16h às 17h20 |
A Fog Computing Simulation Approach Adopting the Implementation Science and IoT Wearable Devices to Support Predictions in Healthcare Environments |
Autor: Thiago G. Thomé (UFJF) Orientadores: Victor Stroele (UFJF), Mario A. R. Dantas (UFJF) e Helady Pinheiro (UFJF) |
In the Covid-19 pandemic, it was already possible to obtain recommendations
to assist in the control of contamination. In this study, we considered the
implementation science concept in a simulation effort based on changes in
prevention behaviors. We also considered the use of an information system
and wearable IoT devices for monitoring people in environments where social
isolation is complex. We conceived four scenarios with different approaches,
where health data of the simulated agents were collected for monitoring and
providing predictions. Agents with more preventive habits got contamination
rates of 12.11% against the worst scenario, with 77.00%.
|
| Análise e predição de incidência de casos de malária no tempo e no espaço utilizando modelos deep learning |
Autor: Matheus Felix Xavier Barboza (UPE) Orientadores: Patricia Takako Endo (UPE) e Vanderson de Souza Sampaio (FVS-AM e FMT-HVD) |
A malária é uma doença com risco de vida evitável e curável,
mas houve mais de 228 milhões de casos de malária e 405.000
mortes por
malária em 2018. Enquanto mais de 42 milhões de brasileiros
estão sob risco de malária, 99% de todos os casos de malária
no Brasil
estão localizados dentro ou ao redor da floresta amazônica.
Apesar do declínio de casos e mortes, a malária continua
sendo um grande
problema de saúde pública no Brasil. Em resposta a pedidos
de novas pesquisas sobre estratégias de eliminação da
malária para atender
às condições locais, este artigo propõe modelos de machine
learning e deep learning para prever a probabilidade de
casos de malária
no Estado do Amazonas. Usando um conjunto de dados de
aproximadamente 6 milhões de registros, avaliamos os modelos
{Random Forest,
LSTM e GRU e comparamos desempenho por área geográfica
usando a classificação de regionais de saúde do Estado do
Amazonas e
clusters através do algoritmo k-means. Os resultados sugerem
que todos os modelos têm uma precisão satisfatória e forte
potencial
para prever novos casos de malária na região.
|
|
| Apuração do Capital Social Acumulado a partir de Interações Sociais em Páginas Institucionais no Facebook |
Autor: Kaique Matheus R. Cunha (IFG) Orientador: Alan Keller Gomes (IFG) |
Funcionalidades que permitem a interação entre usuários
dentro das Redes Sociais Online configuram práticas de
sociabilidade em rede,
ou seja, ações como Publicar, Comentar, Curtir e
Compartilhar têm um significado especial quando estão sob o
foco da Sociologia Digital.
Com o apoio da teoria de Pierre Bourdieu, neste trabalho são
identificados e capturados dados relacionados às práticas de
sociabilidade
em rede dentro de Páginas Institucionais no Facebook. Esses
dados são utilizados no aprendizado da sequência de ações. A
partir da
frequência de ocorrências das seqüências aprendidas, um
indicador do Capital Social acumulado é apresentado. A
partir desse indicador e
do número de interações sociais, o volume de Capital Social
é computado.
|
WICSI
| Sessão Técnica | Título | Autores (Afiliação) | Resumo |
|---|---|---|---|
| #1 08/06 - 13h às 14h20 |
WAF: Uma análise de desempenho e eficácia | Everton Silva (Cefet/RJ - Brazil), Lucas Azevedo (Cefet/RJ - Brazil), Matheus Frez (Cefet/RJ - Brazil), Felipe Malara (Cefet/RJ - Brazil), Nilson Lazarin (CEFET/RJ UnED Nova Friburgo - Brazil) |
Este artigo discute o desempenho, consumo de recursos e a
utilização de alguns Web Application Firewall (WAF) open
source.
Será analisado o desempenho para cada uma das três
ferramentas propostas. O objetivo deste artigo é que o
leitor seja capaz
de compreender o que é um WAF, para que serve o mesmo, e que
seja capaz de escolher com base em nossos resultados qual
WAF
se adequa melhor ao seu servidor web. No final tiramos
algumas conclusões sobre a eficácia geral dos Wafs
propostos.
|
| Construção de um Conjunto de Dados para Análise Estática de Ransomwares | Marcelo Borges (Universidade Federal de Uberlândia - Brazil), Arthur Labaki (Universidade Federal de Uberlândia - Brazil), Renan Cattelan (Universidade Federal de Uberlândia - Brazil), Rodrigo Miani (Universidade Federal de Uberlândia - Brazil) |
Este trabalho apresenta a construção de um conjunto de dados
para análise estática de ransomwares. A base de dados
resultante
consiste de 338 arquivos PE, separados em 21 diferentes
famílias e contendo informações gerais dos arquivos e
características
dos ransomwares analisados. O conjunto produzido, aqui
disponibilizado publicamente, pode ser utilizado para
identificação e
classificação de famílias de ransomware.
|
|
| Sistema para Coleta e Tratamento Textos Brasileiros sobre Polarização Política | Paulo Henrique Ribeiro Costa (Universidade de Fortaleza - Brazil), Luciano Heitor Gallegos Marin (Universidade de Fortaleza - Brazil) |
A polarização política popular caracteriza-se quando há uma
clara divisão de linhas partidárias em relação a questões
políticas,
políticas governamentais e figuras públicas, onde um dos
lados observa o outro como ameaça. Este tipo de polarização
pode ser estudado
por meio de textos compartilhados em redes sociais, como no
Facebook e no Twitter. Muitas vezes, pesquisadores e
interessados coletam
textos destas redes sociais, mas não mostram como
desenvolver o processo de coleta e tratamento destes textos.
Mostramos, neste artigo,
o desenvolvimento de um sistema para coleta e tratamento de
textos envolvendo polarização política "popular" por meio do
Twitter, capaz
de incluir as localizações e analisar os sentimentos
existentes nestes textos.
|
|
| Sistema Web para Apoio ao Processo de Editoração de Anais de Eventos para Publicação no Open Journal System 3 | Ronaldo Alves Pereira Filho (Universidade Federal de Uberlândia - Brazil), Rafael Araújo (Universidade Federal de Uberlândia - Brazil) |
A editoração de trabalhos de eventos científicos em formato
de anais é um processo árduo, mas essencial para que sua
indexação seja feita corretamente
e com qualidade. É um processo que envolve diferentes
Sistemas de Informação cuja troca de informação é feita,
geralmente, de forma manual. Dessa forma,
este trabalho visa propor um Sistema de Sistemas de
Informação para suporte ao processo de editoração de anais
de eventos gerenciados pelo Journal and
Event Management System (JEMS) e publicados no Open Journal
System (OJS), versão 3. Resultados preliminares mostram uma
boa aceitação dos usuários e o
potencial de reduzir o tempo gasto nesse processo.
|
|
| Ferramenta de Web-Scraping: Impactos da COVID-19 na Indústria de Software | Wiliane Alves Silva de Souza (University of Pernambuco - Brazil), Wylliams Santos (University of Pernambuco - Brazil), Wladimir Filho (Universidade de Pernambuco - UPE - Brazil) |
A pandemia causada pelo COVID-19 traz desafios para a
indústria de software. Para o estudo desse contexto, a
utilização da Literatura Cinza é de grande relevância,
porém, há uma lacuna no que diz respeito a ferramentas de
busca para esse conteúdo. Esse trabalho traz informações
acerca de uma ferramenta de Web Scraping, desenvolvida
para busca de literatura cinza no contexto de
desenvolvimento ágil de software. Utilizamos o método de
Design Science e apresentamos resultados preliminares
compostos
por mais de 7900 documentos capturados pela ferramenta, que
deve ser aprimorada futuramente e já se mostra útil no meio
acadêmico.
|
|
| #2 08/06 - 14h30 às 15h50 |
Suporte à dirigibilidade de um veículo elétrico através do gerenciamento de consumo de bateria | Gabriel Nascimento (Federal University of Juiz de Fora - Brazil), Mario Dantas (UFJF - Brazil), José Maria David (Universidade Federal de Juiz de Fora - Brazil) |
Com o avanço de novas tecnologias, veículos elétricos passam
a fazer parte da paisagem urbana. Entretanto, encontram-se
problemas relacionados à autonomia
destes veículos e à escassez de postos de abastecimentos.
Nosso trabalho de pesquisa propõe uma aplicação para apoiar
a compreensão do motorista quanto ao
consumo de bateria de um veículo elétrico, como também, aos
modos de condução do mesmo. Simulou-se a captação de dados
através de um simulador de contexto
capaz de reproduzir o consumo e autonomia de um veículo
elétrico. Para avaliar as informações obtidas através das
simulações foi utilizada a metodologia de
Design Science Research (DSR).
|
| Um Framework para Desenvolvimento de Sistemas de Gerenciamento de Informações de Desastres Naturais | Carlos Tavares Brumatti (Universidade Federal de Viçosa - Brazil), Erick Lima Figueiredo (Universidade Federal de Viçosa - Brazil), Lucas Fouraux Dorigueto (Universidade Federal de Viçosa - Brazil), Jugurta Lisboa Filho (Universidade Federal de Viçosa - Brazil) |
Disaster Information Management Systems (DIMS) are systems
of most importance for public management and can be used
before, during and after emergency situations.
Associating this type of system with Voluntary Geographic
Information Systems (VGI) represents a major advance in the
relationship of society with its managers.
Thus, this work presents a framework for the development of
DIMS using VGI, seeking to follow patterns of data sharing
and usability.
|
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| Navegação autônoma e detecção visual usando uma plataforma robótica de baixo custo | Danilo França (Federal University of Uberlandia - Brazil), Leandro Couto (Federal University of Uberlandia - Brazil), Jefferson Souza (Federal University of Uberlandia - Brazil) |
This work shows a mobile robot platform and application of
robot low cost in a task of visual detection and chasing an
object, using a smartphone as a sensor and
performing the object detection from Computer Vision. Also,
a comparison will be made with another simpler technique,
showing that the proposed method presents
comparable results while offering much greater flexibility.
|
|
| Uma proposta de framework para simulação de casas inteligentes usando Unity | Cael dos Santos (Universidade Federal do Oeste do Pará - Brazil), Gabriela Diana S. de Sousa (Universidade Federal do Oeste do Pará - Brazil), Josivan Reis (Universidade Federal do Oeste do Pará - Brazil), Roberto do Nascimento (Universidade Federal do Oeste do Pará - Brazil) |
Com o crescente desenvolvimento de novas tecnologias no
campo da domótica e Internet das Coisas surgem novas
oportunidades para a criação de ambientes inteligentes para
usuários que carecem de algum tipo de tecnologia assistiva.
Considerando os custos associados à construção desse tipo de
ambientes, simuladores se tornam um componente
importante para o seu desenvolvimento, de modo a minimizar o
tempo e o custo de implementação do projeto. Assim, este
trabalho apresenta uma proposta de framework para
simular casas inteligentes que atendam as necessidades e
especificidades do usuário.
|
|
| Colher ou não colher? Uma rede neural convolucional para apoiar cafeicultores na decisão da colheita | Anage Filho (Federal University of Uberlândia - Brazil), Cleyton Alvarenga (Federal University of Uberlândia - Brazil), Murillo Carneiro (Federal University of Uberlândia - Brazil) |
Nesse artigo é feito um estudo de modelos de aprendizado
profundo para auxiliar os agricultores na melhor tomada de
decisão da colheita dos cafeeiros. Este é um
problema pouco explorado na literatura e se torna muito
difícil por conta dos frutos amadurecerem de maneira
desuniforme na planta. Nesse sentido, coletamos
milhares de imagens de cafeeiros as quais foram
posteriormente classificadas por especialistas da área, Além
disso, triplicamos a base de dados utilizando o
processo de aumento de dados e três arquiteturas de redes
neurais convolucionais foram treinadas e tiveram seu
desempenho preditivo comparado. Os resultados
mostram que nosso melhor obteve uma taxa de acerto de 93\% e
F1-score de 92\% em imagens separadas para os testes.
|
|
| #3 08/06 - 16h às 17h20 |
Interorganizational Information Systems: A Study of Practice | Bernardo Agrelos (Universidade Federal do Estado do Rio de Janeiro (UNIRIO) - Brazil), João Vitor Ferreira (Universidade Federal do Estado do Rio de Janeiro (UNIRIO) - Brazil), Bruna Diirr (Universidade Federal do Estado do Rio de Janeiro - Brazil) |
Interorganizational relationships are initiatives between
organizations that aim to facilitate resource sharing and
information exchange. In this context,
information systems are developed to support the involved
organizations, often encompassing several smaller systems.
However, little is known about
interorganizational information systems (IOIS), especially
regarding their state of practice. This paper investigates
the use of IOISs in real scenarios.
For this, we performed a non-systematic search of IOISs
examples and identified repositories on GitHub about these
systems. Hence, it was possible to map
a set of sources and requirements that help understand how
IOISs work and why they are adopted.
|
| Mediador Game - Um jogo baseado em processo de negócio para treinamento organizacional | Thayna da Silva (Universidade Presbiteriana Mackenzie - Brazil), Tatiane Lopes (Universidade de São paulo - Brazil), Renata Araujo (Universidade Presbiteriana Mackenzie - Brazil) |
This work presents the development of the Mediador Game, a
digital game based on business processes to support the
training of organizational processes, applied
in the mediation of conflicts in the judiciary. The game was
designed using the method, developed in previous research,
which describes the steps to transform
elements of business process models into game design
elements.
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|
| Inferência Automática de Nível Calórico de Receitas Culinárias Através de Técnicas de Apendizagem de Máquina | Larissa Britto (Universidade Federal Rural de Pernambuco - Brazil), Luciano Pacífico (Universidade Federal Rural de Pernambuco - Brazil), Teresa Ludermir (Universidade Federal de Pernambuco - Brazil) |
In this work, a tool for the automatic inference of calorie
content in cooking recipes is proposed, through a Text
Classification approach. This tool will be part
of a Recommendation System under development, to assist
health professionals and users in general to elaborate
healthy diets.
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| Uma Proposta de Sintaxe Concreta para Caso de Uso | José Colombini (Escola Politécnica da Universidade de São Paulo - Brazil), Fábio Levy Siqueira (Escola Politécnica da Universidade de São Paulo - Brazil) |
Problemas na elicitação e documentação de requisitos podem
afetar todo o desenvolvimento do software. Dentre os
possíveis problemas estão ambiguidade, inconsistência,
conteúdo fora do padrão e documentação não clara. Um dos
meios de evitar tais problemas é através de técnicas que
buscam reduzir a informalidade deste processo. Neste
trabalho se utilizou conceitos de Engenharia Dirigida por
Modelos (MDE) para representar requisitos funcionais
seguindo a representação de caso de uso, propondo uma
sintaxe concreta para uma sintaxe abstrata e semântica já
existentes. O uso de MDE permite uma identificação mais
clara dos elementos do caso de uso e suas relações,
criando um formato estruturado de modo a aumentar a
qualidade do modelo.
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| O ensino de Estrutura de Dados auxiliado por uma Plataforma Didática na Web | Lucas Borges (Universidade Federal de Uberlândia - Brazil), Ana Claudia Martinez (Universidade Federal de Uberlândia - Brazil), Thiago Pirola Ribeiro (Universidade Federal de Uberlândia - Brazil) |
As disciplinas iniciais de programação e algoritmos dos
cursos da área de computação exigem um certo grau de
abstração que, normalmente, não é cobrado no ensino médio.
A partir de estudos prévios das maiores dificuldades de
alunos dos cursos de programação e, tentando colaborar para
diminuir as barreiras iniciais, este trabalho
apresenta um simulador desenvolvido em plataforma Web, no
qual é possível realizar manipulações de estruturas de dados
com resultados visuais.
|
WTDSI
| Sessão Técnica | Título | Autores (Afiliação) | Resumo |
|---|---|---|---|
| #1 09/06 - 09h às 10h20 |
Impacto da Governança das Plataformas digitais na criação e apropriação de valor em Ecossistemas de negócio |
Autor: Sergio Fonseca (UNIRIO - Universidade Federal do Estado do Rio de
Janeiro - Brazil) Orientadora: Bruna Diirr (Universidade Federal do Estado do Rio de Janeiro - Brazil) |
Na última década, as Plataformas digitais ganharam
importância na orquestração das relações
interorganizacionais, tornando-se pontos de controle em
diversos Ecossistemas
de negócio. Isso pode gerar conflitos entre os Líderes das
Plataformas e outros participantes na busca de oportunidades
para criação e apropriação de valor. Nesse trabalho,
a Governança das Plataformas digitais é investigada pela
perspectiva dos Complementors e busca-se criar mecanismos
que permitam prognosticar como o controle do Líder sobre
a Plataforma pode afetar a criação e apropriação de valor no
Ecossistema. Ao final, será proposto um artefato que apoie
tanto pesquisadores quanto praticantes na realização
desses prognósticos.
|
| Investigando a Evolução da Plataforma Tecnológica em um Ecossistema de Software Federado |
Autora: Nadja Antonio (Universidade Federal do Estado do Rio de Janeiro -
Brazil) Orientadores: Flavio Horita (Universidade Federal do ABC - Brazil) e Rodrigo Santos (UNIRIO - Brazil) |
Sistemas de Informação Federados (SIF) se interconectam para
obter funcionalidades que exigem muitas integrações que,
sozinhos, não conseguiriam realizar.
SIF juntos cumprem uma missão maior, tal como a
disponibilização de crédito ao cliente bancário. Por sua
vez, os Sistemas de Informação (SI) são aqueles
que fazem parte de uma mesma plataforma tecnológica comum
com seus atores internos e externos. Ao conjunto destes SI,
denomina-se Ecossistema de Software (ECOS).
Partindo destes conceitos, o arranjo de SIF pode ser
denominado Ecossistema de Software Federado (ECOSF). Nesse
contexto, com o forte avanço da evolução tecnológica,
cada vez mais se torna necessário que os SIF migrem para
novas tecnologias e esta evolução pode causar novas tensões
organizacionais (TO) entre os stakeholders
durante essas migrações e na convivência dos SIF novos com
legados. Isto ocorre porque existem diversos desafios
envolvidos nesta migração: processos tradicionais;
resistência a mudanças; questões orçamentárias, dentre
outros. Este trabalho propõe investigar a evolução da
plataforma tecnológica comum de um ECOSF e analisar
como emergem as TO. Como contribuição para a indústria,
pretende-se encontrar os elementos que influenciam na
evolução da plataforma tecnológica comum de um ECOSF,
auxiliando gestores na tomada de decisão na evolução dos SIF
envolvidos. Como contribuição para a academia, será
realizada uma teorização da evolução dos SIF, fornecendo
mais uma forma de pensar, teorizar e entender sistemas desta
natureza.
|
|
| #2 09/06 - 13h às 14h20 |
Jogos baseados em processos de negócio: Aplicação no treinamento de processos de negócio |
Autora: Tatiane Neves Lopes (Universidade de São Paulo - Brazil) Orientadora: Renata Araujo (PPgSI-EACH-USP/Universidade Presbiteriana Mackenzie - Brazil) |
To adapt to constant changes, organizations that apply
business process management need to continuously train their
professionals to institutionalize new processes, spending
time and effort. This resaerch work presents the proposal of
designing, application and effectiveness evaluation of using
business-process based digital games in process training.
|
| Design de Narrativas para Jogos Digitais Baseados em Processos de Negócio |
Autor: Macio Rocha Ferreira (Universidade Federal do Estado do Rio de
Janeiro - UNIRIO - Brazil) Orientador: Tadeu Classe (Universidade Federal do Estado do Rio de Janeiro - Brazil) |
Digital Games Based on Business Processes are a genre of
games that represent organizations' business processes. They
allow players to understand aspects of the processes.
The narratives are a crucial point for the players to
understand the game context and, consequently, the process
represented by them. This research proposes a method for
generating scripts for games based on business processes
models. The research uses Design Science Research
Methodology (DRSM) to carry it out. The evaluation will be
carried
out by qualitative and quantitative approaches and, the
analysis of data obtained from the answers of questionnaires
and interviews performed with game designers specialists.
|
|
| #3 09/06 - 14h30 às 15h50 |
Cidades Inteligentes: Uma Arquitetura de Referência para Sistemas de Informação Baseada na Perspectiva Social |
Autor: Alexandre Pires Barbosa (Universidade Federal do Estado do Rio de
Janeiro - UNIRIO - Brazil) Orientadores: Marcelo Fornazin (Universidade Federal Fluminense - Brazil) e Rodrigo Santos (UNIRIO - Brazil) |
Promover ações sustentáveis e menos desiguais visando o
crescimento urbano ordenado é um desafio que as cidades
inteligentes se propõem a resolver. Os sistemas de
informação
têm papel fundamental para enfrentamento dos desafios da
gestão do espaço urbano, pois suas abordagens compreendem o
envolvimento de pessoas, organizações e tecnologias.
Contudo, estas abordagens podem gerar conflitos de
interesses quando desconsideram os cidadãos em seus
objetivos. Este projeto pesquisa de dissertação tem por
objetivo
investigar possibilidades e limites para as cidades
inteligentes e propor uma arquitetura de referência para
guiar pesquisadores e governos na abordagem social das
cidades
inteligentes.
|
| Governança de dados aplicada ao planejamento urbano municipal |
Autora: Bianca da Rocha Bartolomei (Universidade Federal de Itajubá -
Brazil) Orientadoras: Melise Paula (Universidade Federal de Itajubá - Brazil) e Vanessa Souza (Universidade Federal de Itajubá - Brazil) |
With the growth of cities, greater investments are required
in urban planning, the objective of which is to guide
actions of municipal public management in order to minimize
urban problems and improve the quality of life of citizens.
The organization and analysis of data about a municipality
can help this process insofar as it allows for more
assertive decisions. The data in question can be from
different sources, structured or not, sensitive and also
have inconsistencies. In order to solve this problem, the
proposed solution for this work is the elaboration and
development of a model capable of handling heterogeneous
data, capturing, integrating and making them available for
decision making by stakeholders in order to assist municipal
urban planning.
|
|
| #4 09/06 - 16h às 17h20 |
Compreendendo Comportamentos Emergentes em Sistemas-de-Sistemas por meio de Simulação de Software |
Autor: Kanan Castro Silva (Universidade Federal do ABC - Brazil) Orientador: Flavio Horita (Universidade Federal do ABC - Brazil) |
This research is in the context of Systems of Systems (SoS),
a class of complex systems composed from other independent
systems, which have their own characteristics and
functionalities. The interaction among the constituents of a
SoS might produce new behaviours, known as emergent
behaviours, about which still there is not full dominance
regarding modeling and simulation. Thus, this paper intends
to collaborate to advance at this understanding by means of
the elaboration of a simulator which permits
comprehend how the inclusion and/or exclusion of one or more
constituents of a SoS affects its global behaviour.
|
| Uma taxonomia de Visual Analytics em Sistemas de Apoio à Decisão |
Autor: Gustavo Romão Gonzales (Universidade Federal do ABC - Brazil) Orientadores: Lívia Castro Degrossi (Universidade Federal do ABC - Brazil) e Flavio Horita (Universidade Federal do ABC - Brazil) |
Sistemas de Apoio à Decisão fazem parte do dia a dia de
todos os ambientes, atuando no suporte ao processo de tomada
de decisão, auxilia na utilização de dados como embasamento,
possibilitando decisões mais eficientes e vantajosas. O
aumento do volume de dados produzidos digitalmente traz
inúmeras oportunidades e as organizações tem aperfeiçoado
seus
SAD como meio de descobrir novas informações ocultas nestes
dados. Como meio de resolver o problema de sobrecarga de
dados com uma das dificuldades, o Visual Analytics (VA) é
aplicado para um melhor uso e exploração desses dados. No
entanto, a implementação de VA em um SAD não é uma tarefa
trivial, exigindo atualmente técnicas de desenvolvimento e
avaliação. O presente trabalho tem como objetivo apresentar
uma taxonomia de VA em SAD. Para tanto, o projeto adotou uma
metodologia sistemática para o estabelecimento da
taxonomia. A principal contribuição deste projeto é
apresentar uma taxonomia que possa classificar e descrever
as características de VA nas arquiteturas dos SAD.
|
EISI
| Sessão Técnica | Título | Autores (Afiliação) | Resumo |
|---|---|---|---|
| 09/06 - 15h às 15h50 | MistuRe: Uma Plataforma para Unificação de Dados Científicos sobre Compatibilidade de Produtos em Misturas de Tanque com Calda Herbicida | César Henrique Marçal Cardoso (UFU), Edson A. Santos (UFU), Rafael D. Araújo (UFU) |
Produtores rurais, engenheiros agrônomos, profissionais
especializados e vários outros atuantes da área agronômica
carecem de uma fonte
agregada, confiável e gratuita a respeito da compatibilidade
de produtos fitossanitários. Em vista desse problema, este
trabalho apresenta
a criação de uma plataforma que unifica resultados e
informações científicas a respeito da compatibilidade de
produtos em misturas de tanque
com calda herbicida em um software. A plataforma foi
desenvolvida utilizando tecnologias atuais e a sua primeira
versão já conta em sua base
de dados com 224 combinações entre os 990 produtos
comerciais disponíveis no Brasil, todos estes, herbicidas.
|
| Desenvolvimento de ferramenta de chatbot como solução para a comunicação do IFB | Katlen Karine Costa Silva (IFB), Rodrigo Ortega Tierno (IFB), Sandra Maria Branchine (IFB), Douglas Santos Silva Vilaca (IFB), Fábio Henrique Monteiro Oliveira (IFB) |
Por meio de uma pesquisa, foi identificado que grande parte
dos estudantes do IFB já perdeu alguma oportunidade em não
ter acesso à notícias em tempo.
Este trabalho tem como público-alvo instituições de ensino,
estudantes e desenvolvedores de sistemas. E nele foi
desenvolvido um chatbot baseado em regras
a fim de otimizar a forma como os estudantes do IFB acessam
às informações e notícias do portal oficial da instituição.
|
FESI
| Sessão Técnica | Título | Autores (Afiliação) | Resumo |
|---|---|---|---|
| #1 10/06 - 08h às 09h20 |
Podcast Educacional para ensino de informática e computação IFG-CAST | Wendell Bento Geraldes (Instituto Federal de Goiás - Brazil), Ulisses Rodrigues Afonseca (Instituto Federal de Goiás câmpus Luziânia - Brazil) |
Este artigo descreve a experiência de um projeto de ensino
realizado em uma instituição de ensino profissional e
tecnológica com a criação de
um podcast sobre assunstos relacionados ao curso de
bacharelado em sistemas de informação. O objetivo do projeto
era criar 25 episódios com
assuntos que abordassem desde redes de computadores,
sistemas distribuídos, algoritmos até desenvolvimento de
sistemas para web. Quatro
alunos e alunas bolsistas criaram 25 roteiros para gravação
dos episódios, destes foram gravados e publicados 7 (sete)
até o momento.
|
| Concepção da Curricularização da Extensão no Bacharelado em Sistemas de Informação: Relato de Experiência do IFAL Campus Maceió | Mônica Cunha (Instituto Federal de Alagoas - Brazil), Marcílio Souza-Júnior (CODAI/UFRPE - Brazil) |
O Plano Nacional de Educação 2014-2024 estabeleceu a
adequação dos projetos pedagógicos dos cursos de graduação
para inserção de atividades de extensão
nos seus currículos, assegurando no mínimo 10% do total de
créditos, o que foi denominado de curricularização da
extensão. Este artigo tem como objetivo
apresentar um relato sobre a concepção da primeira proposta
de curricularização da extensão em um curso do IFAL,
contemplada no Bacharelado em Sistemas
de Informação desde o semestre 2018-1. A proposta consistiu
na oferta de três disciplinas obrigatórias (duas de projetos
integradores e uma de tecnologias
sociais e assistivas) e participações em outras atividades
extensionistas institucionais (programas, projetos, cursos,
serviços de extensão tecnológica
e voluntariado).
|
|
| A influência do perfil de jogador do aluno no desempenho de ferramentas gamificadas no processo ensino-aprendizagem | Marcio Campos (Universidade Federal do Maranhão - Brazil), Tiago Borchartt (Universidade Federal do Maranhão - Brazil) |
Gamification is often used as a tool for the teacher to
transmit all the necessary pedagogical content in a
motivating, engaging and creative way.
This work aims to analyze the influence of the student's
player profile on the performance of gamified tools in the
teaching-learning process.
|
|
| Um Sobrevoo Panorâmico sobre as Estratégias de Curricularização da Extensão adotadas atualmente em Cursos de Sistemas de Informação no Brasil | Marcílio Souza-Júnior (CODAI/UFRPE - Brazil), Mônica Cunha (Instituto Federal de Alagoas - Brazil) |
A regulamentação da prática extensionista como componente
curricular obrigatório nos projetos pedagógicos dos cursos
de graduação tem se apresentado como
um desafio. Este artigo tem como objetivo apresentar um
panorama sobre as estratégias de curricularização da
extensão adotadas nos cursos de Bacharelado
em Sistemas de Informação (BSI) até o presente momento. A
metodologia adotada envolveu uma pesquisa documental nos
sites institucionais dos próprios cursos
e uma pesquisa bibliográfica por relatos de experiências. Os
resultados sinalizaram que, timidamente, as instituições de
ensino estão reformulando seus
projetos pedagógicos e que as estratégias comumente adotadas
são aquelas que envolveram disciplinas específicas de
extensão ou de projetos e programas no
atendimento à comunidade.
|
|
| Curricularização da Extensão nos Cursos de Sistemas de Informação na Universidade Federal de Uberlândia: Um Relato de Experiência | Rafael Araújo (Universidade Federal de Uberlândia - UFU - Brazil), Elaine Faria (Federal University of Uberlandia - UFU - Brazil), Ana Claudia Martinez (Federal University of Uberlândia - UFU - Brazil), Jefferson Souza (Federal University of Uberlândia - UFU - Brazil) |
Em face ao Plano Nacional de Educação (PNE 2014-2024), o
Conselho Nacional de Educação regulamentou as diretrizes
para a extensão na Educação Superior Brasileira
em 2018. Uma das metas prioritárias definidas é garantir uma
quantidade mínima de créditos curriculares para extensão em
todos os cursos de graduação do país.
Com isso, além de reformular seus Projetos Político
Pedagógico atender à legislação vigente, as Universidades
precisam assegurar que todos os estudantes cumpram
a carga horária mínima de atividades de extensão. Assim,
este artigo apresenta um relato de experiência sobre a
estratégia de reformulação dos cursos de Sistemas
de Informação da Universidade Federal de Uberlândia nesse
contexto.
|
Trilhas de Temas Emergentes
| Trilha | Título do Artigo | Autores (Afiliação) | Resumo |
|---|---|---|---|
| Design Participativo para Problemas Socio-Urbanos 10/06 - 08h às 09h20 |
Design Participativo em tecnologias cívicas: Um olhar sobre o processo de design do "Cuidando do Meu Bairro" | Gisele Craveiro (USP - Brazil), Adeline Gil (University of Araraquara - UNIARA - Brazil) |
Entender o gasto público no município é necessário para a
cidadania incidir nas políticas públicas no território onde
vive.
O objetivo deste estudo é descrever a experiência de
envolvimento de diferentes atores no design da plataforma em
cada fase
do seu desenvolvimento. É empregado um arcabouço teórico
para analisar sua atual etapa de avaliação. Para isso,
descrevemos:
o envolvimento de diferentes atores no processo de design,
respectiva participação nas decisões de design e,
principalmente,
o aprendizado mútuo. Como trata-se de uma iniciativa
pioneira e, ao mesmo tempo, um projeto de longo prazo,
referência nacional
e internacional, os achados podem contribuir na replicação
em outras cidades.
|
| Utilização do design participativo na definição de um processo colaborativo para a elaboração de instrumentos legais participativos | Jonas Paula (Universidade Federal de Itajubá - Brazil), Melise Paula (Universidade Federal de Itajuba - Brazil) |
O Estatuto da Cidade (EC) é uma lei federal brasileira que
regulamenta a política urbana em todo o país através de
instrumentos legais elaborados
para organizar o crescimento das cidades que devem ser
desenvolvidos de forma participativa. Visando atender este
objetivo, este artigo propõe a
utilização do Design Participativo na elaboração destes
instrumentos usando a tecnologia de informação e comunicação
como meio para ampliar as
oportunidades de colaboração entre os membros envolvidos
neste processo.
|
|
| Human-AI Interaction in the Era of Digitalization 10/06 - 09h30 às 10h50 |
Anomalies Detection in records of operational failures using IoT devices and data mining | Izaque da Silva (Universidade Federal de Juiz de Fora - Brazil), Regina Braga (Universidade Federal de Juiz de Fora - Brazil), José Maria David (Universidade Federal de Juiz de Fora - Brazil), Victor Stroele (Federal University of Juiz de Fora - Brazil) |
The industry underwent several transformations initiated by
the first Industrial Revolution at the end of the 18th
century. Today we are experiencing
the Fourth Industrial Revolution, where equipment is capable
of processing data and connect to communication networks.
Maintenance planning can use large volume
of data generated by IoT devices to act preventively . This
work aims to propose an architecture that uses an outlier
detection algorithm, Local Outlier Factor,
to detect anomalies in machine failure records, producing
information to support equipment maintenance decisions.
|
Propostas de SI Inovadores - CoDeSII
| Sessão | Título | Autores (Afiliação) |
|---|---|---|
| #1 09/06 - 09h às 10h20 |
CARD - Controle de Animais Rurais e Domésticos | Scheila de Avila e Silva (Universidade de Caxias do Sul - Brazil), Guilherme Ceratti (Universidade de Caxias do Sul - Brazil), Guilherme Carteri (Universidade de Caxias do Sul - Brazil), Thiago Silva (Universidade de Caxias do Sul - Brazil) |
| Diary Pet | Eduarda Flávia Marchesini (Universidade de Caxias do Sul - Brazil), Danrlei Paulo Berté (Universidade de Caxias do Sul - Brazil), Ricardo Fetter Nicoletti (Universidade de Caxias do Sul - Brazil) | |
| Colher ou não colher? Um sistema inteligente para apoiar cafeicultores na decisão da colheita | Anage Filho (Federal University of Uberlândia - Brazil), Murillo Carneiro (Federal University of Uberlândia - Brazil), Darlisson Medeiros Santos (UFU - Brazil) | |
| Embala Verde | Carolina Figueiredo (Universidade Federal de Uberlândia - Brazil), Guilherme Dias (Universidade Federal de Uberlândia - Brazil) | |
| Waste-Reuse | Lara Bezerra (Universidade de Pernambuco - Brazil), Jônatas Ítalo Feitosa (Escola Técnica José Nivaldo Pereira Ramos - Brazil), José Artur de Arruda Cardoso de Arruda Cardoso (Escola Técnica Estadual José Nivaldo Pereira Ramos - Brazil), Maria Janmilly Sousa Andrade (Escola Técnica Estadual José Nivaldo Pereira Ramos - Brazil), Pablo Luís Henrique Santos Silva (Escola Técnica Estadual José Nivaldo Pereira Ramos - Brazil) | |
| Organic4 | Lara Bezerra (Universidade de Pernambuco - Brazil), Áurea Fernanda Leite de Lima (Escola Técnica Estadual José Nivaldo Pereira Ramos - Brazil), Maria Fernanda Machado da Silva (Escola Técnica Estadual José Nivaldo Pereira Ramos - Brazil), Mayan Mikael Sousa Brito (Escola Técnica Estadual José Nivaldo Pereira Ramos - Brazil), Láyza Vieira Barbosa (Escola Técnica Estadual José Nivaldo Pereira Ramos - Brazil) | |
| Desenvolvimento do Sistema de Informação PoliticBooks de Apoio às Eleições Aplicando Conceitos de Engenharia de Software | Icaro Uchoa (IFMA - Brazil), Janderson Jati (IFAM - Brazil), Luiza Costa Neta (IFAM - Brazil), Rhuan Viana (IFAM - Brazil), Priscila Fernandes (IFAM - Brazil), Luis Rivero (UFMA - Brazil) | |
| #2 09/06 - 13h às 14h50 |
Proposta de um Sistema de Informação de Apoio à Organização de Estudos | Juliana Alves (Instituto Federal do Amazonas - Brazil), Kassiane Lima (IFAM - Brazil), Vitor Bremgartner (IFAM - Brazil), Luis Rivero (UFMA - Brazil) |
| Análise da Evasão Escolar no IFAM por meio de Um Sistema de Informação de Controle de Assiduidade | João Rita (IFAM - Brazil), Larissa Melo (Instituto Federal do Amazonas - Brazil), Warley Nogueira (IFAM - Brazil), Nomy Hernandez (IFAM - Brazil), Priscila Fernandes (IFAM - Brazil), Luis Rivero (Universidade Federal do Maranhão - UFMA - Brazil) | |
| Promofertas | Scheila de Avila e Silva (Universidade de Caxias do Sul - Brazil), Cristian Zandoná Dal Más (Universidade de Caxias do Sul - Brazil), Flavine Sassi dos Santos (Universidade de Caxias do Sul - Brazil), Roberta Baggio Marini (Universidade de Caxias do Sul - Brazil) | |
| QuickPlay | Scheila de Avila e Silva (Universidade de Caxias do Sul - Brazil), Ana Júlia Malvessi (Universidade de Caxias do Sul - Brazil), Augusto Zanesco Bortoncello (Universidade de Caxias do Sul - Brazil), Gabriel Gallina Moscone (Universidade de Caxias do Sul - Brazil) | |
| Space Lines | Vinicius Machado (Universidade de Caxias do Sul - Brazil), Diego Tonato Fabrício (Universidade de Caxias do Sul - Brazil), Evelyn Teixeira Cagliari (Universidade de Caxias do Sul - Brazil), Lucas Martins de Barros (Universidade de Caxias do Sul - Brazil) | |
| Sistema de Apoio e Incentivo à Doação de Sangue | Franciane Lark (IFAM - Brazil), Reine Santos (IComp/UFAM - Brazil), Vitor Bremgartner (IFAM - Brazil), Luis Rivero (UFMA - Brazil) | |
| Proposta de um Sistema de Informação de Apoio ao Combate da Covid-19 | Flavio Simas Lopes (Instituto Federal de Educação, Ciência e Tecnologia do Amazonas - Brazil), Julio Calazanz (IFAM - Brazil), Jonas Santos (IFAM - Brazil), Ruthelene Farias (IFAM - Brazil), Priscila Fernandes (IFAM - Brazil), Luis Rivero (Universidade Federal do Maranhão - UFMA - Brazil) |
Coordenadores do TechDay 2021:
Mauricio Cunha EscarpinatiUniversidade Federal de Uberlândia (UFU)
mauricio (at) ufu (dot) br
Ronaldo Castro de Oliveira
Universidade Federal de Uberlândia (UFU)
ronaldo (dot) co (at) ufu (dot) br
Coordenador de Publicações do SBSI 2021:
Awdren FontãoUniversidade Federal do Mato Grosso do Sul (UFMS)
Coordenadores Gerais do SBSI 2021:
Rafael D. AraújoUniversidade Federal de Uberlândia (UFU)
rafael (dot) araujo (at) ufu (dot) br
Fabiano A. Dorça
Universidade Federal de Uberlândia (UFU)
fabianodor (at) ufu (dot) br