Matheus Paixao
Matheus Paixao
Researcher at State University of Ceará
Email confirmado em uece.br - Página inicial
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Citado por
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Ano
Toxic code snippets on stack overflow
C Ragkhitwetsagul, J Krinke, M Paixao, G Bianco, R Oliveto
IEEE Transactions on Software Engineering, 2019
512019
An architecture based on interactive optimization and machine learning applied to the next release problem
AA Araújo, M Paixao, I Yeltsin, A Dantas, J Souza
Automated Software Engineering 24 (3), 623-671, 2017
402017
Are developers aware of the architectural impact of their changes?
M Paixao, J Krinke, DG Han, C Ragkhitwetsagul, M Harman
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
392017
An empirical study of cohesion and coupling: Balancing optimization and disruption
M Paixao, M Harman, Y Zhang, Y Yu
IEEE Transactions on Evolutionary Computation 22 (3), 394-414, 2017
302017
CROP: Linking code reviews to source code changes
M Paixao, J Krinke, D Han, M Harman
Proceedings of the 15th International Conference on Mining Software …, 2018
232018
Behind the intents: An in-depth empirical study on software refactoring in modern code review
M Paixão, A Uchôa, AC Bibiano, D Oliveira, A Garcia, J Krinke, E Arvonio
Proceedings of the 17th International Conference on Mining Software …, 2020
192020
A robust optimization approach to the next release problem in the presence of uncertainties
M Paixao, J Souza
Journal of Systems and Software 103, 281-295, 2015
162015
A scenario-based robust model for the next release problem
M Paixão, J Souza
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
152013
We need to talk about microservices: An analysis from the discussions on StackOverflow
A Bandeira, CA Medeiros, M Paixao, PH Maia
2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019
142019
The impact of code review on architectural changes
M Paixao, J Krinke, DG Han, C Ragkhitwetsagul, M Harman
IEEE Transactions on Software Engineering, 2019
122019
Machine learning for user modeling in an interactive genetic algorithm for the next release problem
AA Araújo, M Paixão
International Symposium on Search Based Software Engineering, 228-233, 2014
122014
Rebasing in Code Review Considered Harmful: A Large-Scale Empirical Investigation
M Paixao, PH Maia
19th International Working Conference on Source Code Analysis and …, 2019
102019
A hyper-heuristic for multi-objective integration and test ordering in google guava
G Guizzo, M Bazargani, M Paixao, JH Drake
International Symposium on Search Based Software Engineering, 168-174, 2017
62017
Searching for configurations in clone evaluation–a replication study
C Ragkhitwetsagul, M Paixao, M Adham, S Busari, J Krinke, JH Drake
International Symposium on Search Based Software Engineering, 250-256, 2016
62016
Multi-objective module clustering for kate
M Paixao, M Harman, Y Zhang
International Symposium on Search Based Software Engineering, 282-288, 2015
62015
A recoverable robust approach for the next release problem
MHE Paixao, JT de Souza
International Symposium on Search Based Software Engineering, 172-187, 2013
52013
Technical Debt's State of Practice on Stack Overflow: a Preliminary Study
E Gama, M Paixao, ESS Freire, MI Cortés
Proceedings of the XVIII Brazilian Symposium on Software Quality, 228-233, 2019
32019
Does code review really remove coding convention violations?
DG Han, C Ragkhitwetsagul, J Krinke, M Paixao, G Rosa
2020 IEEE 20th International Working Conference on Source Code Analysis and …, 2020
22020
Improving the module clustering of ac/c++ editor using a multi-objective genetic algorithm
M Paixao, M Harman, Y Zhang
RN 15 (02), 01, 2015
22015
A mapping study of the Brazilian SBSE community
WKG Assunção, M de O Barros, TE Colanzi, AC Dias-Neto, MHE Paixão, ...
Journal of Software Engineering Research and Development 2 (1), 1-16, 2014
22014
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