Marcelo de Almeida Maia
Marcelo de Almeida Maia
Professor of Computer Science, Federal University of Uberlândia
Verified email at - Homepage
Cited by
Cited by
Dissection of a bug dataset: Anatomy of 395 patches from defects4j
V Sobreira, T Durieux, F Madeiral, M Monperrus, M de Almeida Maia
2018 IEEE 25th international conference on software analysis, evolution and …, 2018
Bears: An extensible java bug benchmark for automatic program repair studies
F Madeiral, S Urli, M Maia, M Monperrus
2019 IEEE 26th international conference on software analysis, evolution and …, 2019
A systematic literature review on bad smells–5 w's: which, when, what, who, where
EV de Paulo Sobrinho, A De Lucia, M de Almeida Maia
IEEE Transactions on Software Engineering 47 (1), 17-66, 2018
Ranking crowd knowledge to assist software development
LBL De Souza, EC Campos, MA Maia
Proceedings of the 22nd International Conference on Program Comprehension, 72-82, 2014
Duplicate question detection in stack overflow: A reproducibility study
RFG Silva, K Paixão, M de Almeida Maia
2018 IEEE 25th international conference on software analysis, evolution and …, 2018
Recommending comprehensive solutions for programming tasks by mining crowd knowledge
RFG Silva, CK Roy, MM Rahman, KA Schneider, K Paixao, ...
2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC …, 2019
Common bug-fix patterns: A large-scale observational study
EC Campos, M de Almeida Maia
2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017
Do software categories impact coupling metrics?
LBL De Souza, M de Almeida Maia
2013 10th Working Conference on Mining Software Repositories (MSR), 217-220, 2013
On the use of feature-oriented programming for evolving software product lines—A comparative study
GCS Ferreira, FN Gaia, E Figueiredo, M de Almeida Maia
Science of Computer programming 93, 65-85, 2014
Searching crowd knowledge to recommend solutions for API usage tasks
EC Campos, LBL de Souza, MA Maia
Journal of Software: Evolution and Process 28 (10), 863-892, 2016
Understanding the popularity of reporters and assignees in the Github.
J Xavier, A Macedo, M de Almeida Maia
SEKE, 484-489, 2014
On the interplay between non-functional requirements and builds on continuous integration
KVR Paixão, CZ Felício, FM Delfim, MA Maia
2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017
Assessing modularity using co-change clusters
LL Silva, MT Valente, MA Maia
Proceedings of the 13th international conference on Modularity, 49-60, 2014
On the impact of crosscutting concern projection on code measurement
E Figueiredo, A Garcia, M Maia, G Ferreira, C Nunes, J Whittle
Proceedings of the tenth international conference on Aspect-oriented …, 2011
A quantitative and qualitative assessment of aspectual feature modules for evolving software product lines
FN Gaia, GCS Ferreira, E Figueiredo, M de Almeida Maia
Science of Computer Programming 96, 230-253, 2014
Bootstrapping cookbooks for APIs from crowd knowledge on Stack Overflow
LBL Souza, EC Campos, F Madeiral, K Paixão, AM Rocha, ...
Information and Software Technology 111, 37-49, 2019
Redocumenting APIs with crowd knowledge: a coverage analysis based on question types
FM Delfim, KVR Paixão, D Cassou, M de Almeida Maia
Journal of the Brazilian Computer Society 22, 1-34, 2016
INDIAM—an e-learning system for the interpretation of mammograms
D Guliato, RS Bôaventura, MA Maia, RM Rangayyan, MS Simedo, ...
Journal of digital imaging 22, 405-420, 2009
CROKAGE: effective solution recommendation for programming tasks by leveraging crowd knowledge
RFG da Silva, CK Roy, MM Rahman, KA Schneider, K Paixão, ...
Empirical Software Engineering 25, 4707-4758, 2020
Towards an automated approach for bug fix pattern detection
F Madeiral, T Durieux, V Sobreira, M Maia
arXiv preprint arXiv:1807.11286, 2018
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