Exploração de Estados Implícitos em Requisitos de Software como Estratégia Pedagógica no Ensino de Engenharia de Requisitos e Testes
Resumo
Este artigo não possui um resumo.Referências
Bhatia, S. and Kumar, R. (2023). Identifying implicit assumptions in software requirements: An nlp-based approach. Journal of Systems and Software, 195:111516.
Campbell, D. T. and Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Rand McNally, Chicago.
Daun, M., Grubb, A. M., Stenkova, V., and Tenbergen, B. (2023). A systematic literature review of requirements engineering education. Requirements Engineering, 28(1):145–175.
Ferrari, A., Lipitakis, E., and Gnesi, S. (2022). Detecting ambiguity and incompleteness in natural language requirements: A survey and taxonomy. IEEE Transactions on Software Engineering, 48(8):2800–2821.
Fillmore, C. J. (1976). Frame semantics and the nature of language. Annals of the New York Academy of Sciences, 280(1):20–32.
Garousi, V., Giray, G., Tuzun, E., Catal, C., and Felderer, M. (2020). Software engineering education: Challenges and future directions. IEEE Transactions on Education, 63(4):245–254.
Ouhbi, S. and Pombo, N. (2020). Software engineering education: Challenges and perspectives. In 2020 IEEE Global Engineering Education Conference (EDUCON), pages 202–209.
Siddiq, M. S., Santos, J. C., Cuadrado, J. S., and Hussain, S. (2024). Empirical study on the effectiveness of large language models in software testing: A systematic literature review. Information and Software Technology, page 107386.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2):257–285.
White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J., and Schmidt, D. C. (2023). A prompt pattern catalog to enhance code quality and requirements. In Proceedings of the 45th International Conference on Software Engineering (ICSE), pages 1–11. IEEE.
Campbell, D. T. and Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Rand McNally, Chicago.
Daun, M., Grubb, A. M., Stenkova, V., and Tenbergen, B. (2023). A systematic literature review of requirements engineering education. Requirements Engineering, 28(1):145–175.
Ferrari, A., Lipitakis, E., and Gnesi, S. (2022). Detecting ambiguity and incompleteness in natural language requirements: A survey and taxonomy. IEEE Transactions on Software Engineering, 48(8):2800–2821.
Fillmore, C. J. (1976). Frame semantics and the nature of language. Annals of the New York Academy of Sciences, 280(1):20–32.
Garousi, V., Giray, G., Tuzun, E., Catal, C., and Felderer, M. (2020). Software engineering education: Challenges and future directions. IEEE Transactions on Education, 63(4):245–254.
Ouhbi, S. and Pombo, N. (2020). Software engineering education: Challenges and perspectives. In 2020 IEEE Global Engineering Education Conference (EDUCON), pages 202–209.
Siddiq, M. S., Santos, J. C., Cuadrado, J. S., and Hussain, S. (2024). Empirical study on the effectiveness of large language models in software testing: A systematic literature review. Information and Software Technology, page 107386.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2):257–285.
White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J., and Schmidt, D. C. (2023). A prompt pattern catalog to enhance code quality and requirements. In Proceedings of the 45th International Conference on Software Engineering (ICSE), pages 1–11. IEEE.
Publicado
04/05/2026
Como Citar
SAAR, Christopher Ric Coelho; SOARES, Daricélio Moreira; ALMEIDA, Manoel Limeira de Lima Júnior.
Exploração de Estados Implícitos em Requisitos de Software como Estratégia Pedagógica no Ensino de Engenharia de Requisitos e Testes. In: LABORATÓRIO DE IDEIAS - SIMPÓSIO BRASILEIRO DE EDUCAÇÃO EM COMPUTAÇÃO (EDUCOMP), 6. , 2026, Campo Grande/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 62-63.
ISSN 3086-0741.
DOI: https://doi.org/10.5753/educomp_estendido.2026.20635.
