| 2021 |
Artigo em periódico |
Evaluating T-wise testing strategies in a community-wide dataset of configurable software systems
Ferreira FISCHER; Vale GUSTAVO; Diniz João P; Eduardo Magno Lages FIGUEIREDO
JOURNAL OF SYSTEMS AND SOFTWARE
DOI 10.1016/j.jss.2021.110990
ISSN 0164-1212
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PS
Software
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| 2021 |
Artigo em periódico |
Perceptions of open-source software developers on collaborations: An interview and survey study
Kattiana CONSTANTINO; Mauricio SOUZA; Shurui ZHOU; Eduardo Magno Lages FIGUEIREDO; Christian KASTNER
J SOFTW-EVOL PROC
DOI 10.1002/smr.2393
ISSN 2047-7481
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PS
Computer Science Applications
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| 2021 |
Artigo em periódico |
Challenges of Resolving Merge Conflicts: A Mining and Survey Study
Gustavo VALE; Claus HUNSEN; Eduardo Magno Lages FIGUEIREDO; Sven APEL
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
DOI 10.1109/TSE.2021.3130098
ISSN 0098-5589
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PS
Software
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| 2020 |
Trabalho em evento |
On the proposal and evaluation of a test-enriched dataset for configurable systems
Ferreira FISCHER; Vale GUSTAVO; Diniz João P; Eduardo Magno Lages FIGUEIREDO
VaMoS '20: 14th International Working Conference on Variability Modelling of SoftwareIntensive Systems
DOI 10.1145/3377024.3377045
ISBN 9781450375016
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PS
Software
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| 2020 |
Trabalho em evento |
JavaScript API Deprecation in the Wild: A First Assessment
Nascimento ROMULO; Brito ALINE; Hora ANDRE; Eduardo Magno Lages FIGUEIREDO
2020 IEEE 27th International Conference on Software Analysis; Evolution and Reengineering (SANER)
DOI 10.1109/saner48275.2020.9054854
ISBN 9781728151434
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PS
Software
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| 2020 |
Trabalho em evento |
How Difficult and Effective is Writing Assertions for Observing Bugs at Runtime?
Fischer FERREIRA; Fernandes EDUARDO; Johnatan OLIVEIRA; Mauricio SOUZA; Eduardo Magno Lages FIGUEIREDO
In proceedings of the 23rd Iberoamerican Conference on Software Engineering (CIbSE)
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PS
Software
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| 2020 |
Trabalho em evento |
Revisiting the Bad Smell and Refactoring Relationship: A Systematic Literature Review
Silva CLEITON; Amanda SANTANA; Eduardo Magno Lages FIGUEIREDO; Mariza BIGONHA
In proceedings of the 23rd Iberoamerican Conference on Software Engineering (CIbSE)
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PS
Computer Science Applications
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| 2020 |
Trabalho em evento |
Commit Classification using Natural Language Processing: Experiments over Labeled Datasets
Geanderson SANTOS; Eduardo Magno Lages FIGUEIREDO
In proceedings of the 23rd Iberoamerican Conference on Software Engineering (CIbSE)
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PS
Computer Science Applications
|
| 2020 |
Trabalho em evento |
Testing configurable software systems
Ferreira FISCHER; Viggiato MARKOS; Souza MAURÍCIO; Eduardo Magno Lages FIGUEIREDO
SPLC '20: 24th ACM International Systems and Software Product Line Conference
DOI 10.1145/3382025.3414725
ISBN 9781450375696
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PS
Software
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| 2020 |
Trabalho em evento |
Understanding collaborative software development
Constantino KATTIANA; Zhou SHURUI; Souza MAURICIO; Eduardo Magno Lages FIGUEIREDO; Kästner CHRISTIAN
ICGSE '20: 15th IEEE/ACM International Conference on Global Software Engineering
DOI 10.1145/3372787.3390442
ISBN 9781450370936
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PS
Software
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| 2020 |
Trabalho em evento |
Detecting bad smells with machine learning algorithms
Cruz DANIEL; Santana AMANDA; Eduardo Magno Lages FIGUEIREDO
TechDebt '20: International Conference on Technical Debt
DOI 10.1145/3387906.3388618
ISBN 9781450379601
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PS
Computer Science Applications
|
| 2020 |
Trabalho em evento |
A Test Strategy for Configurable Software Systems Using Machine Learning
Fischer FERREIRA; Eduardo Magno Lages FIGUEIREDO
23rd Iberoamerican Conference on Software Engineering (CIbSE)
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PS
Software
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| 2020 |
Trabalho em evento |
Efficiently finding higher-order mutants
Wong Chu PAN; Meinicke JENS; Chen LEO; Diniz João P; Kästner CHRISTIAN et al
ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
DOI 10.1145/3368089.3409713
ISBN 9781450370431
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PS
Software
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| 2020 |
Trabalho em evento |
Analyzing the Impact of Refactoring on Bad Smells
Tavares CLEITON; Bigonha MARIZA; Eduardo Magno Lages FIGUEIREDO
SBES '20: 34th Brazilian Symposium on Software Engineering
DOI 10.1145/3422392.3422408
ISBN 9781450387538
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PS
Software
|
| 2020 |
Trabalho em evento |
JExpert
Oliveira JOHNATAN; Pinheiro DENIS; Eduardo Magno Lages FIGUEIREDO
SBES '20: 34th Brazilian Symposium on Software Engineering
DOI 10.1145/3422392.3422500
ISBN 9781450387538
|
PS
Computer Science Applications
|
| 2020 |
Trabalho em evento |
PLATOOL
Marinho Euler HORTA; Eduardo Magno Lages FIGUEIREDO
SBES '20: 34th Brazilian Symposium on Software Engineering
DOI 10.1145/3422392.3422508
ISBN 9781450387538
|
PS
Computer Science Applications
|
| 2020 |
Trabalho em evento |
Quantifying the Effects of Refactorings on Bad Smells
Cleiton TAVARES; Mariza BIGONHA; Eduardo Magno Lages FIGUEIREDO
Master and PhD Workshop on Software Engineering (WTDSoft)
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PS
Software
|
| 2020 |
Trabalho em evento |
Assessing JavaScript API Deprecation
Romulo NASCIMENTO; Eduardo Magno Lages FIGUEIREDO; Andre HORA
Master and PhD Workshop on Software Engineering (WTDSoft)
|
PS
Software
|
| 2020 |
Trabalho em evento |
Failure of One; Fall of Many: An Exploratory Study of Software Features for Defect Prediction
Dos Santos Geanderson ESTEVES; Eduardo Magno Lages FIGUEIREDO
2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM)
DOI 10.1109/SCAM51674.2020.00016
ISBN 9781728192482
|
PS
Computer Science Applications
|
| 2020 |
Trabalho em evento |
GitHub Label Embeddings
Diniz Joao P; Cruz DANIEL; Ferreira FABIO; Tavares CLEITON; Eduardo Magno Lages FIGUEIREDO
2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM)
DOI 10.1109/scam51674.2020.00033
ISBN 9781728192482
|
PS
Computer Science Applications
|
| 2020 |
Trabalho em evento |
Insights on software product line extraction processes
Martinez JABIER; Wolfart DANIELE; Assunção Wesley K G; Eduardo Magno Lages FIGUEIREDO
SPLC '20: 24th ACM International Systems and Software Product Line Conference
DOI 10.1145/3382025.3414971
ISBN 9781450375696
|
PS
Software
|
| 2020 |
Trabalho em evento |
Predicting Software Defects with Explainable Machine Learning
Geanderson SANTOS; Eduardo Magno Lages FIGUEIREDO; Adriano VELOSO; Markos VIGGIATO; Nivio ZIVIANI
Brazilian Symposium on Software Quality (SBQS)
|
PS
Computer Science Applications
|
| 2020 |
Artigo em periódico |
Understanding machine learning software defect predictions
Geanderson SANTOS; Eduardo Magno Lages FIGUEIREDO; Adriano VELOSO; Markos VIGGIATO; Nivio ZIVIANI
Automated Software Engineering
DOI 10.1007/s10515-020-00277-4
ISSN 0928-8910
|
PS
Computer Science Applications
|
| 2019 |
Capítulo de livro |
A Systematic Mapping Study on Game Elements and Serious Games for Learning Programming
Dos Santos Adriano LAGES; Souza Maurício R A; Dayrell MARCELA; Eduardo Magno Lages FIGUEIREDO
Communications in Computer and Information Science
DOI 10.1007/978-3-030-21151-6_17
ISBN 9783030211509
|
PS
Computer Science Applications
|
| 2019 |
Trabalho em evento |
Testing Tools for Configurable Software Systems
Ferreira FISCHER; Diniz João P; Silva CLEITON; Eduardo Magno Lages FIGUEIREDO
the 13th International Workshop
DOI 10.1145/3302333.3302344
ISBN 9781450366489
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PS
Software
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