Can you certify your software to MC/DC?: a static analysis approach to account for the number test cases (2016)
- Authors:
- Autor USP: MELO, ANA CRISTINA VIEIRA DE - IME
- Unidade: IME
- DOI: 10.1145/2993288.2993290
- Assunto: SOFTWARES
- Keywords: MC/DC; coverage
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: Brazilian Symposium on Systematic and Automated Software Testing - SAST
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MARTINS, Alexandre Locci e MELO, Ana Cristina Vieira de. Can you certify your software to MC/DC?: a static analysis approach to account for the number test cases. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2993288.2993290. Acesso em: 14 maio 2024. -
APA
Martins, A. L., & Melo, A. C. V. de. (2016). Can you certify your software to MC/DC?: a static analysis approach to account for the number test cases. In Proceedings. New York: ACM. doi:10.1145/2993288.2993290 -
NLM
Martins AL, Melo ACV de. Can you certify your software to MC/DC?: a static analysis approach to account for the number test cases [Internet]. Proceedings. 2016 ;[citado 2024 maio 14 ] Available from: https://doi.org/10.1145/2993288.2993290 -
Vancouver
Martins AL, Melo ACV de. Can you certify your software to MC/DC?: a static analysis approach to account for the number test cases [Internet]. Proceedings. 2016 ;[citado 2024 maio 14 ] Available from: https://doi.org/10.1145/2993288.2993290 - Bayesian networks in software maintenance management
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Informações sobre o DOI: 10.1145/2993288.2993290 (Fonte: oaDOI API)
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