Ranking warnings from multiple source code static analyzers via ensemble learning (2019)
- Authors:
- USP affiliated authors: KON, FABIO - IME ; LAGO, NELSON POSSE - IME
- Unidade: IME
- DOI: 10.1145/3306446.3340828
- Subjects: SEGURANÇA DE SOFTWARE; SOFTWARE LIVRE
- Keywords: source code static analysis; vulnerability warnings
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: International Symposium on Open Collaboration - OpenSym
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RIBEIRO, Athos et al. Ranking warnings from multiple source code static analyzers via ensemble learning. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3306446.3340828. Acesso em: 23 abr. 2024. -
APA
Ribeiro, A., Meirelles, P., Lago, N., & Kon, F. (2019). Ranking warnings from multiple source code static analyzers via ensemble learning. In Proceedings. New York: ACM. doi:10.1145/3306446.3340828 -
NLM
Ribeiro A, Meirelles P, Lago N, Kon F. Ranking warnings from multiple source code static analyzers via ensemble learning [Internet]. Proceedings. 2019 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1145/3306446.3340828 -
Vancouver
Ribeiro A, Meirelles P, Lago N, Kon F. Ranking warnings from multiple source code static analyzers via ensemble learning [Internet]. Proceedings. 2019 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1145/3306446.3340828 - A network of FLOSS competence centres
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Informações sobre o DOI: 10.1145/3306446.3340828 (Fonte: oaDOI API)
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