A preliminary investigation into using machine learning algorithms to identify minimal and equivalent mutants (2020)
- Authors:
- USP affiliated authors: SOUZA, SIMONE DO ROCIO SENGER DE - ICMC ; DELAMARO, MÁRCIO EDUARDO - ICMC ; BRITO JUNIOR, CLAUDINEI - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICSTW50294.2020.00056
- Subjects: ALGORITMOS; APRENDIZADO COMPUTACIONAL; MUTAÇÃO
- Keywords: Mutation Testing; Minimal Mutants; Equivalent Mutants
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Loa Alamitos
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Software Testing, Verification and Validation Workshops - ICSTW
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BRITO JUNIOR, Claudinei et al. A preliminary investigation into using machine learning algorithms to identify minimal and equivalent mutants. 2020, Anais.. Loa Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/ICSTW50294.2020.00056. Acesso em: 13 fev. 2026. -
APA
Brito Junior, C., Durelli, V. H. S., Durelli, R. S., Souza, S. do R. S. de, Vincenzi, A. M. R., & Delamaro, M. E. (2020). A preliminary investigation into using machine learning algorithms to identify minimal and equivalent mutants. In Proceedings. Loa Alamitos: IEEE. doi:10.1109/ICSTW50294.2020.00056 -
NLM
Brito Junior C, Durelli VHS, Durelli RS, Souza S do RS de, Vincenzi AMR, Delamaro ME. A preliminary investigation into using machine learning algorithms to identify minimal and equivalent mutants [Internet]. Proceedings. 2020 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1109/ICSTW50294.2020.00056 -
Vancouver
Brito Junior C, Durelli VHS, Durelli RS, Souza S do RS de, Vincenzi AMR, Delamaro ME. A preliminary investigation into using machine learning algorithms to identify minimal and equivalent mutants [Internet]. Proceedings. 2020 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1109/ICSTW50294.2020.00056 - Uma abordagem para identificação de mutantes minimais e equivalentes baseada na estrutura do código fonte
- Analyzing the effectiveness of One-Op mutation against the minimal set of mutants
- A methodology to support the execution of proficiency tests for software quality assessment
- Towards differential fuzzing to reduce manual efforts to identify equivalent mutants: a preliminary study
- Mutation testing to support the security testing of android applications
- Advancing test data selection by leveraging decision tree structures: an investigation into decision tree coverage and mutation analysis
- Ensaio de proficiência em avaliação da conformidade de produtos de software
- On using decision tree coverage criteria for testing machine learning models
- Parallel execution of programs as a support for mutation testing: a replication study
- Test data selection based on applying mutation testing to decision tree models
Informações sobre o DOI: 10.1109/ICSTW50294.2020.00056 (Fonte: oaDOI API)
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