Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach
Resumo
Desenvolver sistemas habilitados por aprendizado de máquina apresenta vários desafios tanto do ponto de vista teórico quanto prático. Esta tese apresenta a PerSpecML, uma abordagem baseada em perspectivas para especificar sistemas habilitados por aprendizado de máquina que ajuda os profissionais a identificar quais atributos são importantes para contribuir para a qualidade geral do sistema. Avaliamos a PerSpecML em três contextos diferentes: (i) na academia, (ii) com representantes da indústria, e (iii) em dois estudos de caso reais. Os resultados revelaram, em particular, componentes essenciais que teriam sido ignorados sem o uso da PerSpecML.Referências
Gorschek, T., Garre, P., Larsson, S., and Wohlin, C. (2006). A model for technology transfer in practice. IEEE, 23(6):88–95.
Kalinowski, M., Lopes, H., Teixeira, A. F., da Silva Cardoso, G., Kuramoto, A., Itagyba, B., Batista, S. T., Pereira, J. A., Silva, T., Warrak, J. A., et al. (2020). Lean r&d: An agile research and development approach for digital transformation. In International Conference on Product-Focused Software Process Improvement, pages 106–124. Springer.
Villamizar, H., Escovedo, T., and Kalinowski, M. (2021). Requirements engineering for machine learning: A systematic mapping study. In 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pages 29–36. IEEE.
Villamizar, H., Kalinowski, M., and Lopes, H. (2022). A catalogue of concerns for specifying machine learning-enabled systems. In 2022 25th Workshop on Requirements Engineering (WER).
Víllamizar, H., Kalinowski, M., and Lopes, H. (2022). Towards perspective-based specification of machine learning-enabled systems. In 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pages 112–115. IEEE.
Villamizar, H., Kalinowski, M., Lopes, H., and Mendez, D. (2024). Identifying concerns when specifying machine learning-enabled systems: a perspective-based approach. Journal of Systems and Software, 213:112053.
Kalinowski, M., Lopes, H., Teixeira, A. F., da Silva Cardoso, G., Kuramoto, A., Itagyba, B., Batista, S. T., Pereira, J. A., Silva, T., Warrak, J. A., et al. (2020). Lean r&d: An agile research and development approach for digital transformation. In International Conference on Product-Focused Software Process Improvement, pages 106–124. Springer.
Villamizar, H., Escovedo, T., and Kalinowski, M. (2021). Requirements engineering for machine learning: A systematic mapping study. In 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pages 29–36. IEEE.
Villamizar, H., Kalinowski, M., and Lopes, H. (2022). A catalogue of concerns for specifying machine learning-enabled systems. In 2022 25th Workshop on Requirements Engineering (WER).
Víllamizar, H., Kalinowski, M., and Lopes, H. (2022). Towards perspective-based specification of machine learning-enabled systems. In 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pages 112–115. IEEE.
Villamizar, H., Kalinowski, M., Lopes, H., and Mendez, D. (2024). Identifying concerns when specifying machine learning-enabled systems: a perspective-based approach. Journal of Systems and Software, 213:112053.
Publicado
30/09/2024
Como Citar
VILLAMIZAR, Hugo; KALINOWSKI, Marcos.
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach. In: CONCURSO DE TESES E DISSERTAÇÕES EM ENGENHARIA DE SOFTWARE (DOUTORADO) - CONGRESSO BRASILEIRO DE SOFTWARE: TEORIA E PRÁTICA (CBSOFT), 15. , 2024, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 37-38.
DOI: https://doi.org/10.5753/cbsoft_estendido.2024.4131.
