Ranking warnings from multiple source code static analyzers via ensemble learning (2019)
Fonte: Proceedings. Nome do evento: International Symposium on Open Collaboration - OpenSym. Unidade: IME
Assuntos: SEGURANÇA DE SOFTWARE, SOFTWARE LIVRE
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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: 09 nov. 2025.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:10.1145/3306446.3340828NLM
Ribeiro A, Meirelles P, Lago N, Kon F. Ranking warnings from multiple source code static analyzers via ensemble learning [Internet]. Proceedings. 2019 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1145/3306446.3340828Vancouver
Ribeiro A, Meirelles P, Lago N, Kon F. Ranking warnings from multiple source code static analyzers via ensemble learning [Internet]. Proceedings. 2019 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1145/3306446.3340828
