Menu

Filtros : "Software and Systems Modeling" Limpar

Filtros

Refine with date range

  • 1

1 - 6 (6 records)

  • Artigo de periodico

    Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities (2026)

    Manzano, Wallace Alves Esteves; Graciano Neto, Valdemar Vicente; Bianchi, Thiago; Kassab, Mohamad; Nakagawa, Elisa Yumi

    Source: Software and Systems Modeling. Unidade: ICMC

    Subjects: SIMULAÇÃO, APRENDIZADO COMPUTACIONAL, ARQUITETURA DE SOFTWARE

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      MANZANO, Wallace Alves Esteves et al. Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities. Software and Systems Modeling, v. 25, p. 217-238, 2026Tradução . . Disponível em: https://doi.org/10.1007/s10270-025-01280-7. Acesso em: 10 mar. 2026.

    • APA

      Manzano, W. A. E., Graciano Neto, V. V., Bianchi, T., Kassab, M., & Nakagawa, E. Y. (2026). Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities. Software and Systems Modeling, 25, 217-238. doi:10.1007/s10270-025-01280-7

    • NLM

      Manzano WAE, Graciano Neto VV, Bianchi T, Kassab M, Nakagawa EY. Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities [Internet]. Software and Systems Modeling. 2026 ; 25 217-238.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-025-01280-7

    • Vancouver

      Manzano WAE, Graciano Neto VV, Bianchi T, Kassab M, Nakagawa EY. Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities [Internet]. Software and Systems Modeling. 2026 ; 25 217-238.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-025-01280-7

  • Artigo de periodico

    Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities (2025)

    Manzano, Wallace Alves Esteves ; Graciano Neto, Valdemar Vicente ; Bianchi, Thiago; Kassab, Mohamad; Nakagawa, Elisa Yumi

    Source: Software and Systems Modeling. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, SIMULAÇÃO, ARQUITETURA DE SOFTWARE

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      MANZANO, Wallace Alves Esteves et al. Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities. Software and Systems Modeling, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10270-025-01280-7. Acesso em: 10 mar. 2026.

    • APA

      Manzano, W. A. E., Graciano Neto, V. V., Bianchi, T., Kassab, M., & Nakagawa, E. Y. (2025). Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities. Software and Systems Modeling. doi:10.1007/s10270-025-01280-7

    • NLM

      Manzano WAE, Graciano Neto VV, Bianchi T, Kassab M, Nakagawa EY. Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities [Internet]. Software and Systems Modeling. 2025 ;[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-025-01280-7

    • Vancouver

      Manzano WAE, Graciano Neto VV, Bianchi T, Kassab M, Nakagawa EY. Simulation of system architectures using optimization andmachine learning: the state of the art and research opportunities [Internet]. Software and Systems Modeling. 2025 ;[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-025-01280-7

  • Artigo de periodico

    Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios (2023)

    Torres, Isaac da Silva ; Fantinato, Marcelo ; Branco, Gabriela Musse; Gordijn, Jaap

    Source: Software and Systems Modeling. Unidade: EACH

    Assunto: ECOSSISTEMAS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      TORRES, Isaac da Silva et al. Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios. Software and Systems Modeling, n. Ja 2023, p. 01-20, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10270-022-01074-1. Acesso em: 10 mar. 2026.

    • APA

      Torres, I. da S., Fantinato, M., Branco, G. M., & Gordijn, J. (2023). Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios. Software and Systems Modeling, ( Ja 2023), 01-20. doi:10.1007/s10270-022-01074-1

    • NLM

      Torres I da S, Fantinato M, Branco GM, Gordijn J. Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios [Internet]. Software and Systems Modeling. 2023 ;( Ja 2023): 01-20.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-022-01074-1

    • Vancouver

      Torres I da S, Fantinato M, Branco GM, Gordijn J. Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios [Internet]. Software and Systems Modeling. 2023 ;( Ja 2023): 01-20.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-022-01074-1

  • Artigo de periodico

    Ark: a constraint-based method for architectural synthesis of smart systems (2020)

    Guessi, Milena ; Oquendo, Flavio ; Nakagawa, Elisa Yumi

    Source: Software and Systems Modeling. Unidade: ICMC

    Subjects: ARQUITETURA DE SOFTWARE, ESTUDO DE CASO

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      GUESSI, Milena e OQUENDO, Flavio e NAKAGAWA, Elisa Yumi. Ark: a constraint-based method for architectural synthesis of smart systems. Software and Systems Modeling, v. 19, p. 741-762, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10270-019-00764-7. Acesso em: 10 mar. 2026.

    • APA

      Guessi, M., Oquendo, F., & Nakagawa, E. Y. (2020). Ark: a constraint-based method for architectural synthesis of smart systems. Software and Systems Modeling, 19, 741-762. doi:10.1007/s10270-019-00764-7

    • NLM

      Guessi M, Oquendo F, Nakagawa EY. Ark: a constraint-based method for architectural synthesis of smart systems [Internet]. Software and Systems Modeling. 2020 ; 19 741-762.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-019-00764-7

    • Vancouver

      Guessi M, Oquendo F, Nakagawa EY. Ark: a constraint-based method for architectural synthesis of smart systems [Internet]. Software and Systems Modeling. 2020 ; 19 741-762.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-019-00764-7

  • Artigo de periodico

    Model checking multi-level and recursive nets (2017)

    Fernández Venero, Mirtha Lina; Silva, Flávio Soares Corrêa da

    Source: Software and Systems Modeling. Unidade: IME

    Subjects: PROTOCOLOS DE COMUNICAÇÃO, REDES DE PETRI, ENGENHARIA DE SOFTWARE

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      FERNÁNDEZ VENERO, Mirtha Lina e SILVA, Flávio Soares Corrêa da. Model checking multi-level and recursive nets. Software and Systems Modeling, v. 16, n. 4, p. 1117–1144, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10270-015-0509-6. Acesso em: 10 mar. 2026.

    • APA

      Fernández Venero, M. L., & Silva, F. S. C. da. (2017). Model checking multi-level and recursive nets. Software and Systems Modeling, 16( 4), 1117–1144. doi:10.1007/s10270-015-0509-6

    • NLM

      Fernández Venero ML, Silva FSC da. Model checking multi-level and recursive nets [Internet]. Software and Systems Modeling. 2017 ; 16( 4): 1117–1144.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-015-0509-6

    • Vancouver

      Fernández Venero ML, Silva FSC da. Model checking multi-level and recursive nets [Internet]. Software and Systems Modeling. 2017 ; 16( 4): 1117–1144.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-015-0509-6

  • Artigo de periodico

    MOOGLE: a metamodel-based model search engine (2012)

    Lucrédio, Daniel; Fortes, Renata Pontin de Mattos ; Whittle, Jon

    Source: Software and Systems Modeling. Unidade: ICMC

    Subjects: ENGENHARIA DE SOFTWARE, SISTEMAS DE INFORMAÇÃO, WORLD WIDE WEB, SISTEMAS MULTIMÍDIA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      LUCRÉDIO, Daniel e FORTES, Renata Pontin de Mattos e WHITTLE, Jon. MOOGLE: a metamodel-based model search engine. Software and Systems Modeling, v. 11, n. 2, p. 183-208, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10270-010-0167-7. Acesso em: 10 mar. 2026.

    • APA

      Lucrédio, D., Fortes, R. P. de M., & Whittle, J. (2012). MOOGLE: a metamodel-based model search engine. Software and Systems Modeling, 11( 2), 183-208. doi:10.1007/s10270-010-0167-7

    • NLM

      Lucrédio D, Fortes RP de M, Whittle J. MOOGLE: a metamodel-based model search engine [Internet]. Software and Systems Modeling. 2012 ; 11( 2): 183-208.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-010-0167-7

    • Vancouver

      Lucrédio D, Fortes RP de M, Whittle J. MOOGLE: a metamodel-based model search engine [Internet]. Software and Systems Modeling. 2012 ; 11( 2): 183-208.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10270-010-0167-7
  • 1

1 - 6 (6 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2026