Understanding the successes and challenges of model-driven software engineering: a comprehensive systematic mapping (2018)
- Authors:
- USP affiliated authors: BRAGA, ROSANA TERESINHA VACCARE - ICMC ; GOTTARDI, THIAGO - ICMC
- Unidade: ICMC
- DOI: 10.1109/CLEI.2018.00024
- Subjects: PESQUISA; METODOLOGIA CIENTÍFICA; REVISÃO SISTEMÁTICA; MODELOS; ENGENHARIA DE SOFTWARE; SOFTWARES; MODELOS DE PROCESSO DE SOFTWARE; MODELOS; PERSPECTIVA DE TEMPO; CONHECIMENTO
- Keywords: Systematic Mapping; Review; Model-Driven Software Engineering; Secondary Study; Software Domains; Model-Oriented; Models at Run-time; Domains; Challenges
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Conference titles: Latin American Computing Conference - CLEI
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GOTTARDI, Thiago e BRAGA, Rosana Teresinha Vaccare. Understanding the successes and challenges of model-driven software engineering: a comprehensive systematic mapping. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/CLEI.2018.00024. Acesso em: 25 fev. 2026. -
APA
Gottardi, T., & Braga, R. T. V. (2018). Understanding the successes and challenges of model-driven software engineering: a comprehensive systematic mapping. In . Piscataway: IEEE. doi:10.1109/CLEI.2018.00024 -
NLM
Gottardi T, Braga RTV. Understanding the successes and challenges of model-driven software engineering: a comprehensive systematic mapping [Internet]. 2018 ;[citado 2026 fev. 25 ] Available from: https://doi.org/10.1109/CLEI.2018.00024 -
Vancouver
Gottardi T, Braga RTV. Understanding the successes and challenges of model-driven software engineering: a comprehensive systematic mapping [Internet]. 2018 ;[citado 2026 fev. 25 ] Available from: https://doi.org/10.1109/CLEI.2018.00024 - Providing past and future awareness to adaptive systems using stochastic processes
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Informações sobre o DOI: 10.1109/CLEI.2018.00024 (Fonte: oaDOI API)
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