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Matheus Paixão

Matheus Henrique Esteves Paixão

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2020 – today

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2024
[c23]
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Lucas Aguiar, Matheus Paixão, Rafael Augusto Ferreira do Carmo, Edson Soares, Antonio Leal, Matheus Freitas, Eliakim Gama:
Multi-language Software Development in the LLM Era: Insights from Practitioners' Conversations with ChatGPT. ESEM 2024: 489-495
[c22]
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Denis Sousa, Matheus Paixão, Chaiyong Ragkhitwetsagul, Italo Uchoa:
Code Clone Configuration as a Multi-Objective Search Problem. ESEM 2024: 503-509
[c21]
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Saori Costa, Matheus Paixão, Igor Steinmacher, Pamella Soares, Allysson Allex Araújo, Jerffeson Souza:
Sociotechnical Dynamics in Open Source Smart Contract Repositories: An Exploratory Data Analysis of Curated High Market Value Projects. PROMISE 2024: 22-31
[c20]
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Edson Soares, Matheus Paixão, Allysson Allex Araújo:
MicroSensor: Towards an Extensible Tool for the Static Analysis of Microservices Systems in Continuous Integration. SIGSOFT FSE Companion 2024: 673-674
[c19]
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Eliakim Gama, Matheus Paixão, Mariela I. Cortés, Lucas Monteiro:
Towards Realistic SATD Identification through Machine Learning Models: Ongoing Research and Preliminary Results. SIGSOFT FSE Companion 2024: 675-676
2022
[j8]
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Renan Gomes Vieira, César Lincoln C. Mattos, Lincoln S. Rocha, João Paulo Pordeus Gomes, Matheus Paixão:
The role of bug report evolution in reliable fixing estimation. Empir. Softw. Eng. 27(7): 164 (2022)
[c18]
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Lucas Almeida Aguiar, Lívia Almada Cruz, Ticiana L. Coelho da Silva, Rafael Augusto Ferreira do Carmo, Matheus Henrique Esteves Paixão:
Large-scale Translation to Enable Response Selection in Low Resource Languages: A COVID-19 Chatbot Experiment. SBBD 2022: 203-215
[i3]
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Chaiyong Ragkhitwetsagul, Matheus Paixão:
Recommending Code Improvements Based on Stack Overflow Answer Edits. CoRR abs/2204.06773 (2022)
2021
[j7]
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Luan P. Lima, Lincoln S. Rocha, Carla I. M. Bezerra, Matheus Paixão:
Assessing exception handling testing practices in open-source libraries. Empir. Softw. Eng. 26(4): 85 (2021)
[j6]
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Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giuseppe Bianco, Rocco Oliveto:
Toxic Code Snippets on Stack Overflow. IEEE Trans. Software Eng. 47(3): 560-581 (2021)
[j5]
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Matheus Paixão, Jens Krinke, DongGyun Han, Chaiyong Ragkhitwetsagul, Mark Harman:
The Impact of Code Review on Architectural Changes. IEEE Trans. Software Eng. 47(5): 1041-1059 (2021)
[c17]
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Alan Rodrigues, Allysson Allex Araújo, Matheus Paixão, Pamella Soares:
Caracterizando a evolução de software de contratos inteligentes: Um estudo exploratório-descritivo utilizando GitHub e Etherscan. VEM 2021: 11-15
[i2]
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Luan P. Lima, Lincoln S. Rocha, Carla I. M. Bezerra, Matheus Paixão:
Assessing Exception Handling Testing Practices in Open-Source Libraries. CoRR abs/2105.00500 (2021)
2020
[c16]
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Matheus Paixão, Anderson G. Uchôa, Ana Carla Bibiano, Daniel Oliveira, Alessandro Garcia, Jens Krinke, Emilio Arvonio:
Behind the Intents: An In-depth Empirical Study on Software Refactoring in Modern Code Review. MSR 2020: 125-136
[c15]
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Carlos Alberto Medeiros, Alan Bandeira, Paulo Henrique M. Maia, Matheus Paixão:
MDE in the Wild: An Exploratory Analysis on What Developers are Discussing from Q&A Platforms. SBES 2020: 157-166
[c14]
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Eliakim Gama, Sávio Freire, Manoel G. Mendonça, Rodrigo O. Spínola, Matheus Paixão, Mariela I. Cortés:
Using Stack Overflow to Assess Technical Debt Identification on Software Projects. SBES 2020: 730-739
[c13]
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DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giovanni Rosa:
Does code review really remove coding convention violations? SCAM 2020: 43-53

2010 – 2019

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2019
[c12]
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Alan Bandeira, Carlos Alberto Medeiros, Matheus Paixão, Paulo Henrique M. Maia:
We need to talk about microservices: an analysis from the discussions on StackOverflow. MSR 2019: 255-259
[c11]
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Eliakim Gama, Matheus Paixão, Emmanuel Sávio Silva Freire, Mariela Inés Cortés:
Technical Debt's State of Practice on Stack Overflow: a Preliminary Study. SBQS 2019: 228-233
[c10]
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Matheus Paixão, Paulo Henrique M. Maia:
Rebasing in Code Review Considered Harmful: A Large-Scale Empirical Investigation. SCAM 2019: 45-55
2018
[b1]
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Matheus Paixão:
Software restructuring: understanding longitudinal architectural changes and refactoring. University College London, UK, 2018
[j4]
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Matheus Paixão, Mark Harman, Yuanyuan Zhang, Yijun Yu:
An Empirical Study of Cohesion and Coupling: Balancing Optimization and Disruption. IEEE Trans. Evol. Comput. 22(3): 394-414 (2018)
[c9]
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Matheus Paixão, Jens Krinke, DongGyun Han, Mark Harman:
CROP: linking code reviews to source code changes. MSR 2018: 46-49
[c8]
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John Wilkie, Ziad Al Halabi, Alperen Karaoglu, Jiafeng Liao, George Ndungu, Chaiyong Ragkhitwetsagul, Matheus Paixão, Jens Krinke:
Who's this?: developer identification using IDE event data. MSR 2018: 90-93
[i1]
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Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giuseppe Bianco, Rocco Oliveto:
Toxic Code Snippets on Stack Overflow. CoRR abs/1806.07659 (2018)
2017
[j3]
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Allysson Allex Araújo, Matheus Paixão, Italo Yeltsin, Altino Dantas, Jerffeson Souza:
An Architecture based on interactive optimization and machine learning applied to the next release problem. Autom. Softw. Eng. 24(3): 623-671 (2017)
[c7]
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Matheus Paixão, Jens Krinke, DongGyun Han, Chaiyong Ragkhitwetsagul, Mark Harman:
Are developers aware of the architectural impact of their changes? ASE 2017: 95-105
[c6]
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Giovani Guizzo, Mosab Bazargani, Matheus Paixão, John H. Drake:
A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava. SSBSE 2017: 168-174
2016
[c5]
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Chaiyong Ragkhitwetsagul, Matheus Paixão, Manal T. Adham, Saheed A. Busari, Jens Krinke, John H. Drake:
Searching for Configurations in Clone Evaluation - A Replication Study. SSBSE 2016: 250-256
2015
[j2]
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Matheus Paixão, Jerffeson Souza:
A robust optimization approach to the next release problem in the presence of uncertainties. J. Syst. Softw. 103: 281-295 (2015)
[c4]
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Matheus Paixão, Mark Harman, Yuanyuan Zhang:
Multi-objective Module Clustering for Kate. SSBSE 2015: 282-288
2014
[j1]
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Wesley K. G. Assunção, Márcio de Oliveira Barros, Thelma Elita Colanzi, Arilo Claudio Dias-Neto, Matheus Henrique Esteves Paixão, Jerffeson Teixeira de Souza, Silvia Regina Vergilio:
A mapping study of the Brazilian SBSE community. J. Softw. Eng. Res. Dev. 2: 3 (2014)
[c3]
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Allysson Allex Araújo, Matheus Paixão:
Machine Learning for User Modeling in an Interactive Genetic Algorithm for the Next Release Problem. SSBSE 2014: 228-233
2013
[c2]
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  - conf/gecco/PaixaoS13
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Matheus Paixão, Jerffeson Souza:
A scenario-based robust model for the next release problem. GECCO 2013: 1469-1476
[c1]
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Matheus Henrique Esteves Paixão, Jerffeson Teixeira de Souza:
A Recoverable Robust Approach for the Next Release Problem. SSBSE 2013: 172-187

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