SATT: tailoring code metric thresholds for different software architectures (2016)
- Authors:
- Aniche, Mauricio Finavaro - Technische Universiteit Delft (Delft University of Technology)
- Treude, Christoph - The University of Adelaide (UA)
- Zaidman, Andy - Technische Universiteit Delft (Delft University of Technology)
- Deursen, Arie Van - Technische Universiteit Delft (Delft University of Technology)
- Gerosa, Marco Aurélio
- Aniche, Mauricio Finavaro - Technische Universiteit Delft (Delft University of Technology)
- Autor USP: GEROSA, MARCO AURÉLIO - IME
- Unidade: IME
- DOI: 10.1109/scam.2016.19
- Subjects: ARQUITETURA DE SOFTWARE; ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES; MÉTRICAS DE SOFTWARE
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: International Working Conference on Source Code Analysis and Manipulation - SCAM
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
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- Versão do Documento: Versão submetida (Pré-print)
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Status: Artigo possui versão em acesso aberto em repositório (Green Open Access) -
ABNT
ANICHE, Mauricio Finavaro et al. SATT: tailoring code metric thresholds for different software architectures. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/scam.2016.19. Acesso em: 12 mar. 2026. -
APA
Aniche, M. F., Treude, C., Zaidman, A., Deursen, A. V., & Gerosa, M. A. (2016). SATT: tailoring code metric thresholds for different software architectures. In Proceedings. Piscataway: IEEE. doi:10.1109/scam.2016.19 -
NLM
Aniche MF, Treude C, Zaidman A, Deursen AV, Gerosa MA. SATT: tailoring code metric thresholds for different software architectures [Internet]. Proceedings. 2016 ;[citado 2026 mar. 12 ] Available from: https://doi.org/10.1109/scam.2016.19 -
Vancouver
Aniche MF, Treude C, Zaidman A, Deursen AV, Gerosa MA. SATT: tailoring code metric thresholds for different software architectures [Internet]. Proceedings. 2016 ;[citado 2026 mar. 12 ] Available from: https://doi.org/10.1109/scam.2016.19 - Preliminary empirical identification of barriers faced by newcomers to open source software projects
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