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Informações resumidas do Currículo Lattes

Currículo Lattes atualizado em 03/09/2023

Nome em citações bibliográficas: FIGUEIREDO, Eduardo;Figueiredo, E.;Figueiredo, Eduardo;FIGUEIREDO, EDUARDO MAGNO LAGES

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Projetos de pesquisa em andamento

2023 a Atual	Avaliação Experimental da Qualidade Interna de Sistemas de Software IoT Apoiados por Inteligência Artificial [FAPEMIG] Este projeto visa propor uma avaliação experimental da qualidade interna de sistemas de software IoT apoiados por Inteligência Artificial (IA), doravante chamados de sistemas IoT+IA. Esta avaliação experimental visa apoiar o entendimento de aspectos cruciais ao controle da qualidade interna de sistemas IoT+IA. Integrantes: Eduardo Magno Lages Figueiredo (coordenador), Eduardo Figueiredo, Kattiana Constantino, Eduardo Fernandes.
2022 a Atual	SensitivePitfalls: Static and Dynamic Analyses of Sensor-aware Code Pitfalls in Highly Configurable and Adaptive Systems (CNPq PQ) A configurable and adaptive software system is able be changed, customized, or adapted for a particular context. The growing need for developing highly configurable and adaptive software systems demands better support for managing complexity related to sensor devices, such as location (GPS), proximity, and camera. Sensors enable the generation of configurable and adaptive software systems, but they also create new challenges in software development, maintenance, and testing tasks. This project aims to investigate the challenges related to sensor interaction in configurable and adaptive software systems. In particular, we plan to focus our research on static and dynamic analyses of source code in configurable and adaptive systems in the presence of sensor interaction. Integrantes: Eduardo Magno Lages Figueiredo (coordenador), Eduardo Figueiredo, Fischer Ferreira, Jabier Martinez, Christian Kastner.
2017 a Atual	Anomalias de Software Sensíveis à Variabilidade em Linha de Produtos de Software (FAPEMIG PPM) Este projeto visa aplicar técnicas de análise estática para identificar fragmentos de código complexos na implementação de variabilidade. Tais fragmentos complexos são chamados anomalias de software sensíveis à variabilidade. Além de técnicas de análise estática de código, é planejada a realização de entrevistas com desenvolvedores de software para o entendimento do impacto de anomalias de software sensíveis à variabilidade em linha de produtos de software. Com base nos dados coletados, este projeto objetiva propor e avaliar um novo método para detecção de anomalias de software sensíveis à variabilidade. Uma ferramenta de software deve ser desenvolvida para apoiar os passos do método em uma detecção automatizada de tais anomalias. O objetivo final é apoiar desenvolvedores na detecção e remoção de anomalias de software sensíveis à variabilidade em linha de produtos de software. Integrantes: Eduardo Magno Lages Figueiredo (coordenador), Eduardo Figueiredo.

Projetos de desenvolvimento em andamento

Veja todos os projetos no Currículo Lattes

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Últimas publicações

Artigos em periódicos

On the Usage of New JavaScript Features through Transpilers: The Babel Case
2023. IEEE SOFTWARE.
Dual analysis for helping developers to find collaborators based on co-changed files: An empirical study
2023. SOFTWARE: PRACTICE AND EXPERIENCE.
Evaluating testing strategies for resource related failures in mobile applications
2023. SOFTWARE QUALITY JOURNAL (ONLINE).
Open-source software product line extraction processes: the ArgoUML-SPL and Phaser cases
2022. EMPIRICAL SOFTWARE ENGINEERING.
JavaScript API Deprecation Landscape: A Survey and Mining Study
2022. IEEE SOFTWARE.
Mining Experts from Source Code Analysis: An Empirical Evaluation
2021. JOURNAL OF SOFTWARE ENGINEERING RESEARCH AND DEVELOPMENT.
Evaluating T-wise testing strategies in a community-wide dataset of configurable software systems
2021. JOURNAL OF SYSTEMS AND SOFTWARE.
Perceptions of open-source software developers on collaborations: An interview and survey study
2021. J SOFTW-EVOL PROC.
Challenges of Resolving Merge Conflicts: A Mining and Survey Study
2021. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING.
Understanding machine learning software defect predictions
2020. Automated Software Engineering.
On the proposal and evaluation of a benchmark-based threshold derivation method
2019. SOFTWARE QUALITY JOURNAL (ONLINE).
Applying and Evaluating Concern-Sensitive Design Heuristics
2012. The Journal of Systems and Software.

Trabalhos completos em congressos

Yet Another Model! A Study on Model's Similarities for Defect and Code Smells
2023. International Conference on Fundamental Approaches to Software Engineering (FASE 2023).
Artifacts of Yet Another Model! A Study on Model's Similarities for Defect and Code Smells
2023. 26th International Conference on Fundamental Approaches to Software Engineering (FASE).
Recommending Collaborators Based on Co-Changed Files: A Controlled Experiment
2023. Simpósio Brasileiro de Sistemas Colaborativos.
Are the Mutations of Strongly Subsuming Second-Order Mutants Actually Masking Each Other?
2023. 34th IEEE International Symposium on Software Reliability Engineering (ISSRE).
Behind Developer Contributions on Conflicting Merge Scenarios
2023. 23rd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM).
Applying Spectrum-Based Fault Localization to Android Applications
2023. Brazilian Symposium on Software Engineering Software (SBES).
Finding Collaborations based on Co-Changed Files
2023. Master and PhD Contest on Collaborative Systems (CTDSC).
Exploring API Deprecation Evolution in JavaScript
2022. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
The Subtle Art of Digging for Defects: Analyzing Features for Defect Prediction in Java Projects
2022. International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE).
CoopFinder: Finding Collaborators Based on Co-Changed Files
2022. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).
Microservice Smells and Automated Detection Tools: A Systematic Literature Review
2022. International Conference on Microservices (Microservices).
Can Source Code Analysis Indicate Programming Skills? A Survey with Developers
2022. 15th International Conference on the Quality of Information and Communications Technology (QUATIC).
Understanding Thresholds of Software Features for Defect Prediction
2022. Brazilian Symposium on Software Engineering (SBES).
EXTRACTPRO: A Data Mining Tool for Developer Profile Generation based on Source Code Analysis
2022. Brazilian Symposium on Software Engineering (SBES).
Democracia em Xeque: Um Estudo Comparativo sobre Detecção de Code Smells
2022. 10th Workshop on Software Visualization, Evolution and Maintenance (VEM).
Review-based Comparison of Design Pattern Detection Tools
2022. International Conference on Pattern Languages of Programs (PLOP).
A systematic review on the use of DevOps in internet of things software systems
2021. SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing.
An exploratory study on the identification and evaluation of bad smell agglomerations
2021. SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing.
Dissecting Strongly Subsuming Second-Order Mutants
2021. 2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST).
Understanding the Context of IoT Software Systems in DevOps
2021. 3rd International Workshop on Software Engineering Research and Practices for the Internet of Things (SERP4IoT).
Evaluating Sensor Interaction Failures in Mobile Applications
2021. International Conference on the Quality of Information and Communications Technology (QUATIC).
On the Challenges for Creating a Test Suite for Configurable Software Systems
2021. 24th Iberoamerican Conference on Software Engineering (CIbSE).
Main Differences of DevOps on IoT Systems
2021. SBES '21: Brazilian Symposium on Software Engineering.
Investigating Continuous Delivery on IoT Systems
2021. SBQS '21: XX Brazilian Symposium on Software Quality.
Microservices Bad Smells and Automated Detection Tools
2021. Master and PhD Workshop on Software Quality (WTDQS).
On the proposal and evaluation of a test-enriched dataset for configurable systems
2020. VaMoS '20: 14th International Working Conference on Variability Modelling of SoftwareIntensive Systems.
JavaScript API Deprecation in the Wild: A First Assessment
2020. 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER).
How Difficult and Effective is Writing Assertions for Observing Bugs at Runtime?
2020. In proceedings of the 23rd Iberoamerican Conference on Software Engineering (CIbSE).
Revisiting the Bad Smell and Refactoring Relationship: A Systematic Literature Review
2020. In proceedings of the 23rd Iberoamerican Conference on Software Engineering (CIbSE).
Commit Classification using Natural Language Processing: Experiments over Labeled Datasets
2020. In proceedings of the 23rd Iberoamerican Conference on Software Engineering (CIbSE).
Testing configurable software systems
2020. SPLC '20: 24th ACM International Systems and Software Product Line Conference.
Understanding collaborative software development
2020. ICGSE '20: 15th IEEE/ACM International Conference on Global Software Engineering.
Detecting bad smells with machine learning algorithms
2020. TechDebt '20: International Conference on Technical Debt.
A Test Strategy for Configurable Software Systems Using Machine Learning
2020. 23rd Iberoamerican Conference on Software Engineering (CIbSE).
Efficiently finding higher-order mutants
2020. ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Analyzing the Impact of Refactoring on Bad Smells
2020. SBES '20: 34th Brazilian Symposium on Software Engineering.
JExpert
2020. SBES '20: 34th Brazilian Symposium on Software Engineering.
PLATOOL
2020. SBES '20: 34th Brazilian Symposium on Software Engineering.
Quantifying the Effects of Refactorings on Bad Smells
2020. Master and PhD Workshop on Software Engineering (WTDSoft).
Assessing JavaScript API Deprecation
2020. Master and PhD Workshop on Software Engineering (WTDSoft).
Failure of One, Fall of Many: An Exploratory Study of Software Features for Defect Prediction
2020. 2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM).
GitHub Label Embeddings
2020. 2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM).
Insights on software product line extraction processes
2020. SPLC '20: 24th ACM International Systems and Software Product Line Conference.
Predicting Software Defects with Explainable Machine Learning
2020. Brazilian Symposium on Software Quality (SBQS).
Testing Tools for Configurable Software Systems
2019. the 13th International Workshop.
A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL
2019. the 13th International Workshop.
Understanding Similarities and Differences in Software Development Practices Across Domains
2019. 2019 ACM/IEEE 14th International Conference on Global Software Engineering (ICGSE).
A Domain-Sensitive Threshold Derivation Method
2019. the XV Brazilian Symposium.
Playing the Project: Incorporating Gamification into Project-based Approaches for Software Engineering Education
2019. XXVII Workshop sobre Educação em Computação.
CleanGame
2019. the XXXIII Brazilian Symposium.
Students Perception on the use of Project-Based Learning in Software Engineering Education
2019. the XXXIII Brazilian Symposium.
How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation
2019. 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME).
On the Impact of Bad Smell Agglomerations on Software Quality
2019. X Conferência Brasileira de Software: Teoria e Prática.
How Well Do You Know This Library?
2019. the XVIII Brazilian Symposium.
Linus's Law
2019. the XVIII Brazilian Symposium.
Crosscutting Patterns and Design Stability: An Exploratory Analysis
2009. International Conference on Program Comprehension (ICPC).
Evolving Software Product Lines with Aspects: An Empirical Study on Design Stability
2008. International Conference on Software Engineering (ICSE).

Resumos expandidos em congressos

Resumos em congressos

Evaluación de la Usabilidad en el desarrollo de Sistemas Web dirigido por modelos
2011. XIII Workshop de Investigadores en Ciencias de la Computación (WICC).
Aspectos @ PUC
2004. I Workshop Brasileiro de Desenvolvimento de Software Orientado a Aspectos (WASP).
Integração de Uma Ferramenta de Refabricação de Software a um Ambiente de Desenvolvimento de Sistemas
2003. Seminário de Iniciação Científica da Ufop.

Veja todas as publicações no Currículo Lattes

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Orientações em andamento

Mestrado

Jefferson Geovane Moreira Lopes. Analyzing the Impact of Developer Expertise on Code Quality. Início: 2023. Universidade Federal de Minas Gerais (Orientador principal)
Guilherme Valdir Marchiori da Silva. Software Engineering Education. Início: 2023. Universidade Federal de Minas Gerais (Orientador principal)
Altino Alves Junior. Self-Admitted Technical Debt. Início: 2023. Universidade Federal de Minas Gerais (Orientador principal)
Felipe dos Santos Leao Ribeiro. Bad Smells in JavaScript Systems. Início: 2022. Universidade Federal de Minas Gerais (Orientador principal)

Doutorado

Henrique Gomes Nunes. Detecting Code Smells with Machine Learning Algorithms. Início: 2021. Universidade Federal de Minas Gerais (Orientador principal)
Igor Muzetti Pereira. Internet of Things in Software Engineering. Início: 2020. Universidade Federal de Ouro Preto (Co orientador)
Euler Horta Marinho. Tests for Mobile Applications. Início: 2020. Universidade Federal de Minas Gerais (Orientador principal)
Amanda Damasceno Santana. Investigating Bad Smell Agglomerations. Início: 2020. Universidade Federal de Minas Gerais (Orientador principal)
João Paulo de Freitas Diniz. Mutation Testing Cost Reduction. Início: 2018. Universidade Federal de Minas Gerais (Orientador principal)

Veja todas as orientações no Currículo Lattes

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