| 2026 |
Trabalho em evento |
High Agreement; Shallow Reasoning: A Mixed-Method Study of LLMs in Refactoring Reviews
Amorim LARISSE; Fortunato CAIQUE; Vale GUSTAVO; Eduardo Magno Lages FIGUEIREDO
PROMISE '26: 22nd International Conference on Predictive Models and Data Analytics in Software Engineering
DOI 10.1145/3803846.3807463
ISBN 9798400725845
|
PS
Software
|
| 2026 |
Trabalho em evento |
When Code Meets Things: The FLOSS Side of IoT Systems
Pereira Igor MUZETTI; Carneiro Tiago Garcia De SENNA; Eduardo Magno Lages FIGUEIREDO
SERP4IoT '26: 8th International Workshop on Software Engineering Research and Practices for the IoT
DOI 10.1145/3786159.3788483
ISBN 9798400723919
|
PS
Software
|
| 2026 |
Trabalho em evento |
A Multi-Approach Evaluation of Python Code Smell Detection Using Heuristics; Learning Models; and Language Models
Igor OLIVEIRA; Alexandre ANDRADE; Saymon SOUZA; Eduardo Magno Lages FIGUEIREDO; Juliana Alves PEREIRA
Brazilian Symposium on Software Engineering (SBES)
|
PS
Computer Science Applications
|
| 2026 |
Trabalho em evento |
How Reliable Are LLM Evaluations of Microservice Architecture Diagrams?
Joao Luiz CERQUEIRA; Mateus DUTRA; Eduardo Magno Lages FIGUEIREDO; Gustavo VALE
Brazilian Symposium on Software Components; Architectures; and Reuse (SBCARS)
|
PS
Computer Science Applications
|
| 2026 |
Trabalho em evento |
A Large Language Model as a Support Tool for User Story Creation with Use Cases: An Empirical Study
Pedro GARCIA; Eduardo Magno Lages FIGUEIREDO; Filipe FERNANDES; Kattiana CONSTANTINO; Filipe COGO
Symposium on Software Engineering (SBES)
|
PS
Computer Science Applications
|
| 2026 |
Trabalho em evento |
When Pipelines Meet Things: Understanding CI/CD Practices in FLOSS IoT Projects through GitHub Actions
Igor PEREIRA; Tiago CARNEIRO; Eduardo Magno Lages FIGUEIREDO
Workshop on Software Visualization; Maintenance and Evolution (VEM)
|
PS
Computer Science Applications
|
| 2026 |
Trabalho em evento |
A Systematic Mapping Study of Quantum Software Engineering Maturity to Guide a Brazilian Research Agenda
Filipe FERNANDES; Claudia WERNER; Eduardo Magno Lages FIGUEIREDO
Brazilian Workshop on Quantum Software Engineering (WQSE)
|
PS
Computer Science (miscellaneous)
|
| 2026 |
Artigo em periódico |
Evaluating a continuous feedback strategy to enhance machine learning code smell detection
Daniel CRUZ; Amanda SANTANA; Eduardo Magno Lages FIGUEIREDO
SCIENCE OF COMPUTER PROGRAMMING
DOI 10.1016/j.scico.2025.103346
ISSN 0167-6423
|
PS
Computer Science Applications
|
| 2026 |
Artigo em periódico |
Exploring the Relationship Between SOLID Principles and Code Smells: The Software Developer Perspective
Ivandeclei COSTA; Mateus DUTRA; Khalid USMAN; Eduardo Magno Lages FIGUEIREDO
JOURNAL OF SOFTWARE ENGINEERING RESEARCH AND DEVELOPMENT
DOI 10.5753/jserd.2026.6765
ISSN 2195-1721
|
PS
Software
|
| 2026 |
Artigo em periódico |
Understanding the developer and user perspectives of design pattern detection tools
Moreira RODRIGO; Fernandes EDUARDO; Eduardo Magno Lages FIGUEIREDO; Fernandes FILIPE
SOFTWARE QUALITY JOURNAL
DOI 10.1007/s11219-026-09777-0
ISSN 0963-9314
|
PS
Computer Science Applications
|
| 2025 |
Trabalho em evento |
Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
Nunes HENRIQUE; Eduardo Magno Lages FIGUEIREDO; Rocha LARISSA; Nadi SARAH; Ferreira FISCHER et al
2025 IEEE International Conference on Software Analysis; Evolution and Reengineering (SANER)
DOI 10.1109/SANER64311.2025.00069
ISBN 9798331535100
|
PS
Software
|
| 2025 |
Trabalho em evento |
A Long-Term Study of the Pandemic Impact on Education: A Software Engineering Case
Constantino KATTIANA; Garcia PEDRO; Eduardo Magno Lages FIGUEIREDO
17th International Conference on Computer Supported Education
DOI 10.5220/0013295200003932
ISBN 9789897587467
|
PS
Software
|
| 2025 |
Trabalho em evento |
MaRV: A Manually Validated Refactoring Dataset
Nunes HENRIQUE; Sharma TUSHAR; Eduardo Magno Lages FIGUEIREDO
2025 IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering (Forge)
DOI 10.1109/Forge66646.2025.00023
ISBN 9798331502119
|
PS
Computer Science (miscellaneous)
|
| 2025 |
Trabalho em evento |
Reflexões sobre o Uso de LLMs no Ensino de Programação
Rosa Yasmim SILVA; Garcia PEDRO; Constantino KATTIANA; Eduardo Magno Lages FIGUEIREDO
Simpósio Brasileiro de Educação em Computação
DOI 10.5753/educomp.2025.5366
|
SH
Education
|
| 2025 |
Trabalho em evento |
Bad Smell Detection using Google Gemini
Amorim LARISSE; Da Costa Ivandeclei MENDES; Alves LETICIA; Eduardo Magno Lages FIGUEIREDO
2025 IEEE 49th Annual Computers; Software; and Applications Conference (COMPSAC)
DOI 10.1109/COMPSAC65507.2025.00221
ISBN 9798331574345
|
PS
Computer Science Applications
|
| 2025 |
Trabalho em evento |
Aged to Perfection? Analyzing the Impact of Years of Experience on Code Quality
Lopes Jefferson G M; Oliveira JOHNATAN; Eduardo Magno Lages FIGUEIREDO
Simpósio Brasileiro de Engenharia de Software
DOI 10.5753/sbes.2025.9688
|
PS
Computer Science Applications
|
| 2025 |
Trabalho em evento |
Improving JavaScript Test Quality with Large Language Models: Lessons from Test Smell Refactoring
Amaral GABRIEL; Gomes HENRIQUE; Eduardo Magno Lages FIGUEIREDO; Bezerra CARLA; Rocha LARISSA
Simpósio Brasileiro de Engenharia de Software
DOI 10.5753/sbes.2025.11568
|
PS
Software
|
| 2025 |
Trabalho em evento |
ImprovMLCQ: A Feature-Enriched Dataset for Advancing Code Smell Detection
Carneiro JOANNE; Ribas JESSICA; Santana AMANDA; Eduardo Magno Lages FIGUEIREDO; Pereira Juliana ALVES
Simpósio Brasileiro de Componentes; Arquiteturas e Reutilização de Software
DOI 10.5753/sbcars.2025.13594
|
PS
Software
|
| 2025 |
Artigo em periódico |
Manipulating a CI/CD Pipeline in an IoT Embedded Project: A Quasi-Experiment
Igor PEREIRA; Tiago CARNEIRO; Eduardo Magno Lages FIGUEIREDO
Journal of Software-Evolution and Process
DOI 10.1002/smr.70022
ISSN 2047-7473
|
PS
Software
|
| 2025 |
Artigo em periódico |
From Detection to Refactoring of Microservice Bad Smells: A Systematic Literature Review
Mateus DUTRA; Pinheiro DENIS; Johnatan OLIVEIRA; Eduardo Magno Lages FIGUEIREDO
JOURNAL OF SOFTWARE ENGINEERING RESEARCH AND DEVELOPMENT
DOI 10.5753/jserd.2025.5224
ISSN 2195-1721
|
PS
Software
|
| 2025 |
Artigo em periódico |
The Post-Pandemic Recovery in a Software Engineering Course: A Quantitative and Qualitative Analysis
Kattiana CONSTANTINO; Pedro GARCIA; Filipe FERNANDES; Eduardo Magno Lages FIGUEIREDO
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT)
ISSN 1865-0929
|
PS
Computer Science Applications
|
| 2024 |
Capítulo de livro |
A Preliminary Interview Study on Developers¿ Perceptions of Code Smell Detection in Industry
Ribeiro FELIPE; Fernandes EDUARDO; Eduardo Magno Lages FIGUEIREDO
Communications in Computer and Information Science
DOI 10.1007/978-3-031-70245-7_24
ISBN 9783031702440
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Tuning Code Smell Prediction Models: A Replication Study
Nunes Henrique GOMES; Santana AMANDA; Eduardo Magno Lages FIGUEIREDO; Costa HEITOR
ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension
DOI 10.1145/3643916.3644436
ISBN 9798400705861
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Performance Evaluation of Back-End Frameworks: A Comparative Study
Carmo Klayver XIMENES; Ferreira FISCHER; Eduardo Magno Lages FIGUEIREDO
SBSI '24: XX Brazilian Symposium on Information Systems
DOI 10.1145/3658271.3658314
ISBN 9798400709968
|
PS
Information Systems
|
| 2024 |
Trabalho em evento |
Resource Interaction Failures in Mobile Applications: A Challenge for the Software Product Line Testing Community
Marinho EULER; Ferreira FISCHER; Fernandes EDUARDO; Diniz João PAULO; Eduardo Magno Lages FIGUEIREDO
SPLC '24: 28th ACM International Systems and Software Product Line Conference
DOI 10.1145/3646548.3676537
ISBN 9798400705939
|
PS
Software
|
