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Informações resumidas do Currículo Lattes

Currículo Lattes atualizado em 09/08/2022

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

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Projetos de pesquisa em andamento

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

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).
A systematic mapping study on game-related methods for software engineering education
2018. INFORMATION AND SOFTWARE TECHNOLOGY.
Applying and Evaluating Concern-Sensitive Design Heuristics
2012. The Journal of Systems and Software.

Trabalhos completos em congressos

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).
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.
Game Elements for Learning Programming: A Mapping Study
2018. 10th International Conference on Computer Supported Education.
Feature location benchmark with argoUML SPL
2018. Proceeedings of the 22nd International Conference.
Evaluating domain-specific metric thresholds
2018. the 2018 International Conference.
Um Mapeamento Sistemático da Literatura sobre Ferramentas de Refatoração de Software
2018. Simpósio Brasileiro de Sistemas de Informação (SBSI).
An Empirical Study on the Impact of Android Code Smells on Resource Usage
2018. The 30th International Conference on Software Engineering and Knowledge Engineering.
N-dimensional tensor factorization for self-configuration of software product lines at runtime
2018. Proceeedings of the 22nd International Conference.
Exploring Game Elements in Learning Programming: An Empirical Evaluation
2018. 2018 IEEE Frontiers in Education Conference (FIE).
Games and Gamification in Software Engineering Education: A Survey with Educators
2018. 2018 IEEE Frontiers in Education Conference (FIE).
On the Investigation of Development Practices in Software Domains
2018. Workshop de Teses e Dissertações do CBSoft (WTDSoft).
TWarning: A Warning Tool for Domain-Sensitive Thresholds
2018. Congresso Brasileiro de Software (CBSoft), Sessão de Ferramentas.
Mining Software Repositories to Identify Library Experts
2018. the VII Brazilian Symposium.
Microservices in Practice: A Survey Study
2018. Brazilian Workshop on Software Visualization, Evolution and Maintenance (VEM).
Heuristic and exact algorithms for product configuration in software product lines
2018. Proceeedings of the 22nd International Conference.
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

Lucas Furtini Veado. Mutation Testing. Início: 2021. Universidade Federal de Minas Gerais (Orientador principal)
Denis Pinto Pinheiro. Patterns and Challenges in Microservice Archtectures. Início: 2020. Universidade Federal de Minas Gerais (Orientador principal)
Rodrigo Andre Ferreira Moreira. Software Product Line Extraction Processes. Início: 2020. Universidade Federal de Minas Gerais (Orientador principal)
Thiago Augusto Nicolini Silva. Code Transformation in JavaScript. Início: 2020. Universidade Federal de Minas Gerais (Co orientador)

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)
Geanderson Esteves dos Santos. Finding Software Defects with Machine Learning Techniques. 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)
Johnatan Alves de Oliveira. Identifying Library Experts from Repository Data. Início: 2018. Universidade Federal de Minas Gerais (Orientador principal)

Veja todas as orientações no Currículo Lattes

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