Learning by sampling: learning behavioral family models from software product lines (2021)
- Authors:
- USP affiliated authors: SIMÃO, ADENILSO DA SILVA - ICMC ; DAMASCENO, CARLOS DIEGO NASCIMENTO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10664-020-09912-w
- Subjects: MODELOS DE PROCESSO DE SOFTWARE; APRENDIZADO COMPUTACIONAL
- Keywords: Software product lines; Model learning; Family model; T-wise sampling
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Empirical Software Engineering
- ISSN: 1382-3256
- Volume/Número/Paginação/Ano: v. 26, n. 1, p. 1-46, Jan. 2021
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: cc-by
-
ABNT
DAMASCENO, Carlos Diego Nascimento e MOUSAVI, Mohammad Reza e SIMÃO, Adenilso da Silva. Learning by sampling: learning behavioral family models from software product lines. Empirical Software Engineering, v. 26, n. Ja 2021, p. 1-46, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10664-020-09912-w. Acesso em: 04 jan. 2026. -
APA
Damasceno, C. D. N., Mousavi, M. R., & Simão, A. da S. (2021). Learning by sampling: learning behavioral family models from software product lines. Empirical Software Engineering, 26( Ja 2021), 1-46. doi:10.1007/s10664-020-09912-w -
NLM
Damasceno CDN, Mousavi MR, Simão A da S. Learning by sampling: learning behavioral family models from software product lines [Internet]. Empirical Software Engineering. 2021 ; 26( Ja 2021): 1-46.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1007/s10664-020-09912-w -
Vancouver
Damasceno CDN, Mousavi MR, Simão A da S. Learning by sampling: learning behavioral family models from software product lines [Internet]. Empirical Software Engineering. 2021 ; 26( Ja 2021): 1-46.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1007/s10664-020-09912-w - Learning from difference: an automated approach for learning family models from software product lines
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Informações sobre o DOI: 10.1007/s10664-020-09912-w (Fonte: oaDOI API)
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