Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data (2016)
- Authors:
- Autor USP: LEJBMAN, ALFREDO GOLDMAN VEL - IME
- Unidade: IME
- DOI: 10.1145/2897586.2897588
- Subjects: COMPUTAÇÃO APLICADA; TESTES DE HIPÓTESES; ENGENHARIA DE SOFTWARE
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International Workshop on Cooperative and Human Aspects of Software Engineering - CHASE
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
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ABNT
GREN, Lucas e GOLDMAN, Alfredo. Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2897586.2897588. Acesso em: 16 jan. 2026. -
APA
Gren, L., & Goldman, A. (2016). Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data. In Proceedings. New York: ACM. doi:10.1145/2897586.2897588 -
NLM
Gren L, Goldman A. Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data [Internet]. Proceedings. 2016 ;[citado 2026 jan. 16 ] Available from: https://doi.org/10.1145/2897586.2897588 -
Vancouver
Gren L, Goldman A. Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data [Internet]. Proceedings. 2016 ;[citado 2026 jan. 16 ] Available from: https://doi.org/10.1145/2897586.2897588 - A multithreaded resolution of the service selection problem based on domain decomposition and work stealing
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Informações sobre o DOI: 10.1145/2897586.2897588 (Fonte: oaDOI API)
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