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Mário André de Freitas Farias
Mário André de Freitas Farias
Federal Institute of Sergipe (Instituto Federal de Sergipe
E-mail confirmado em ifs.edu.br
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A contextualized vocabulary model for identifying technical debt on code comments
MA de Freitas Farias, MG de Mendonça Neto, AB da Silva, RO Spínola
2015 IEEE 7th international workshop on managing technical debt (MTD), 25-32, 2015
712015
Decision Criteria for the Payment of Technical Debt in Software Projects: A Systematic Mapping Study
L Ribeiro, MAF Farias, M Mendonça, R Spínolo
In Proceedings of the 18th International Conference on Enterprise …, 2016
492016
Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary
MA de Freitas Farias, MG de Mendonça Neto, M Kalinowski, RO Spínola
Information and Software Technology 121, 106270, 2020
442020
A systematic mapping study on mining software repositories
MA de Freitas Farias, R Novais, MC Júnior, LP da Silva Carvalho, ...
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1472-1479, 2016
422016
Impacts of agile requirements documentation debt on software projects: a retrospective study
TS Mendes, MAF Farias, M Mendonça, HF Soares, M Kalinowski, ...
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1290-1295, 2016
392016
De ensino presencial para o remoto emergencial: adaptações, desafios e impactos na pós-graduação
MA de Freitas Farias, GPS Júnior, HLB Moraes, SM do Nascimento
Interfaces Científicas-Educação 10 (1), 180-193, 2020
382020
Investigating the identification of technical debt through code comment analysis
MA de Freitas Farias, JA Santos, M Kalinowski, M Mendonça, RO Spínola
Enterprise Information Systems: 18th International Conference, ICEIS 2016 …, 2017
302017
Inteligência artificial e escrita acadêmica: o que nos reserva o algoritmo GPT-3?
PB Sorte, MA de Freitas Farias, AE dos SANTOS, JCA Santos, JSSR Dias
Revista EntreLinguas, e021035-e021035, 2021
162021
Oss developers context-specific preferred representational systems: A initial neurolinguistic text analysis of the apache mailing list
M Colaço Jr, MG Mendonça Neto, MA Farias, P Henrique
7th IEEE Working Conference on Mining Software Repositories, Cape Town, 2010
142010
Investigating the Use of a Contextualized Vocabulary in the Identification of Technical Debt: A Controlled Experiment.
MA de Freitas Farias, JAM Santos, AB da Silva, M Kalinowski, ...
ICEIS (1), 369-378, 2016
112016
A neurolinguistic-based methodology for identifying OSS developers context-specific preferred representational systems
M Colaço, M Mendonça, M André, DF Farias, P Henrique
Context, no. c, 112-121, 2012
92012
Identifying technical debt through a code comment mining tool
MA de F. Farias, R Xisto, MS Santos, RS Fontes, M Colaço, R Spínola, ...
Proceedings of the XV Brazilian Symposium on Information Systems, 1-8, 2019
72019
OSS developers context-specific Preferred Representational systems: A initial Neurolinguistic text analysis of the Apache mailing list
MC Júnior, M Mendonça, MAF Farias, P Henrique
7th IEEE Working Conference on Mining Software Repositories (MSR), IEEE …, 2010
62010
Uma análise da relação entre code smells e dívida técnica auto-admitida
FGS Gomes, TS Mendes, RO Spínola, M Mendonça, M Farias
Anais do VII Workshop de Visualização, Evolução e Manutenção de Software, 25-32, 2019
52019
A study on identification of documentation and requirement technical debt through code comment analysis
AF de O. Passos, MA de Freitas Farias, MG de Mendonça Neto, ...
Proceedings of the XVII Brazilian Symposium on Software Quality, 21-30, 2018
42018
A Systematic Mapping Study on Software Comments Analysis.
A Passos, M Farias, C Lima, MG Mendonça, RO Spínola
SEKE, 681-680, 2018
42018
Recovering valuable information behaviour from oss contributors: An exploratory study
MAF Farias, P Ortins, R Novais, M Colaço Jr., M Mendonca
The 26th International Conference on Software Engineering & Knowledge …, 2014
42014
On Comment Patterns that are Good Indicators of the Presence of Self-Admitted Technical Debt and those that Lead to False Positive Items.
M Farias, TS Mendes, MG Mendonça, RO Spínola
AMCIS, 2021
32021
Meninas digitais–regional sergipe: um despertar para a informática
JSS de Menezes, CO de Santana, CVS Oliveira, ACN Santos, PS da Silva, ...
Anais do Computer on the Beach 10, 649-656, 2019
32019
Identifying Technical Debt through Code Comment Analysis
MAF Farias, M Colaço, R Spínolo, M Mendonça
Doctoral ConsortiumI In Proceedings of the 18th International Conference on …, 2016
3*2016
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