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Filtros : "Software evolution" Limpar

Filtros

Tese (Doutorado)
Learning finite state machine models of evolving systems: From evolution over time to variability in space (2020)
Damasceno, Carlos Diego Nascimento; Mousavi, Mohammad Reza (Orientador); Simão, Adenilso da Silva (Orientador)
Unidade: ICMC
Subjects: ENGENHARIA DE SOFTWARE, SOFTWARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DAMASCENO, Carlos Diego Nascimento. Learning finite state machine models of evolving systems: From evolution over time to variability in space. 2020. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092020-091958/. Acesso em: 20 jan. 2026.
APA
Damasceno, C. D. N. (2020). Learning finite state machine models of evolving systems: From evolution over time to variability in space (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092020-091958/
NLM
Damasceno CDN. Learning finite state machine models of evolving systems: From evolution over time to variability in space [Internet]. 2020 ;[citado 2026 jan. 20 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092020-091958/
Vancouver
Damasceno CDN. Learning finite state machine models of evolving systems: From evolution over time to variability in space [Internet]. 2020 ;[citado 2026 jan. 20 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092020-091958/
Trabalho de evento-anais periodico
Learning to reuse: adaptive model learning for evolving systems (2019)
Damasceno, Carlos Diego Nascimento ; Mousavi, Mohammad Reza ; Simão, Adenilso da Silva
Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Integrated Formal Methods - IFM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS, REÚSO DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DAMASCENO, Carlos Diego Nascimento e MOUSAVI, Mohammad Reza e SIMÃO, Adenilso da Silva. Learning to reuse: adaptive model learning for evolving systems. Lecture Notes in Computer Science - LNCS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-34968-4_8. Acesso em: 20 jan. 2026. , 2019
APA
Damasceno, C. D. N., Mousavi, M. R., & Simão, A. da S. (2019). Learning to reuse: adaptive model learning for evolving systems. Lecture Notes in Computer Science - LNCS. Cham: Springer. doi:10.1007/978-3-030-34968-4_8
NLM
Damasceno CDN, Mousavi MR, Simão A da S. Learning to reuse: adaptive model learning for evolving systems [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11918 138-156.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-030-34968-4_8
Vancouver
Damasceno CDN, Mousavi MR, Simão A da S. Learning to reuse: adaptive model learning for evolving systems [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11918 138-156.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-030-34968-4_8

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