Fault-based testing for refinement in CSP (2017)
- Authors:
- Autor USP: SIMÃO, ADENILSO DA SILVA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-67549-7_2
- Subjects: SISTEMAS DE INFORMAÇÃO; ENGENHARIA DE SOFTWARE
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science (LNCS)
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 10533, p. 21-37, 2017
- Conference titles: IFIP International Conference on Testing Software and Systems - IFIP-ICTSS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CAVALCANTI, Ana e SIMÃO, Adenilso da Silva. Fault-based testing for refinement in CSP. Lecture Notes in Computer Science (LNCS). Cham, SZ: Springer. Disponível em: https://doi.org/10.1007/978-3-319-67549-7_2. Acesso em: 17 out. 2024. , 2017 -
APA
Cavalcanti, A., & Simão, A. da S. (2017). Fault-based testing for refinement in CSP. Lecture Notes in Computer Science (LNCS). Cham, SZ: Springer. doi:10.1007/978-3-319-67549-7_2 -
NLM
Cavalcanti A, Simão A da S. Fault-based testing for refinement in CSP [Internet]. Lecture Notes in Computer Science (LNCS). 2017 ; 10533 21-37.[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-319-67549-7_2 -
Vancouver
Cavalcanti A, Simão A da S. Fault-based testing for refinement in CSP [Internet]. Lecture Notes in Computer Science (LNCS). 2017 ; 10533 21-37.[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-319-67549-7_2 - Inferring FSM models of systems without reset
- This volume contains the papers presented at SBMF 2010... [Prefácio]
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- Formal methods: foundations and applications
- Checking sequence generation using state distinguishing subsequences
- Model-based testing of web service compositions
- Experimental comparison of test case generation methods for finite state machines
- Model partitions and compact test case suites
- A holistic approach to model-based testing of Web service compositions
- Iterative minimization of partial finite state machines
Informações sobre o DOI: 10.1007/978-3-319-67549-7_2 (Fonte: oaDOI API)
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