Requirements Engineering for Data Products: Adapting User Stories
Resumo
This paper proposes recommendations for adapting user stories as a tool for capturing and managing requirements that support data-based functionalities (dashboards, AI models, among others). To conclude, aspects such as collaboration between roles, verifiable acceptance criteria, integration with model metrics, and support for data science tools and algorithms are considered.
Referências
Alves, A. P. S., Villamizar, H., Kalinowski, M., Azevedo, K., Escovedo, T., & Lopes, H. (2024). Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil (SBES’24) [link]
Amirian, E., Abdollahzadeh, A., and N. Sulaiman. "Synergizing Hybrid Agile-Scrum and CRISP-DM (2024) Approaches in Data Science Project Management." Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, Calgary, Alberta, Canada, March 2024. DOI: 10.2118/218114-MS
Cordeiro, R., Alves, I., Alves, S., Goldman, A. (2024). Being Agile in a Data Science Project. In: Kruchten, P., Gregory, P. (eds) Agile Processes in Software Engineering and Extreme Programming – Workshops. XP XP 2022 2023. Lecture Notes in Business Information Processing, vol 489. Springer, Cham. DOI: 10.1007/978-3-031-48550-3_6
Das, S. (2021). Agile Systems Engineering in Building Complex AI Systems. In: Lawless, W.F., Llinas, J., Sofge, D.A., Mittu, R. (eds) Engineering Artificially Intelligent Systems. Lecture Notes in Computer Science, vol 13000. Springer, Cham. DOI: 10.1007/978-3-030-89385-9_12
Halme, E., Jantunen, M., Vakkuri, V., Kemell, K.-K., & Abrahamsson, P. (2024). Making ethics practical: User stories as a way of implementing ethical consideration in Software Engineering. Information and Software Technology, 167, 107379. DOI: 10.1016/j.infsof.2023.107379
Kraut, N., & Transchel, F. (2022). On the Application of SCRUM in Data Science Projects. 2022 7th International Conference on Big Data Analytics (ICBDA), 1-6. DOI: 10.1109/ICBDA55095.2022.9760341
Romao, L., Villamizar, H., Oliveira, R., Alonso, S., & Kalinowski, M. (2025). Agile Management for Machine Learning: A Systematic Mapping Study. En Software Engineering and Advanced Applications (SEAA 2025) (LNCS 16082, pp. 350–360). Springer. [link]
Amirian, E., Abdollahzadeh, A., and N. Sulaiman. "Synergizing Hybrid Agile-Scrum and CRISP-DM (2024) Approaches in Data Science Project Management." Paper presented at the SPE Canadian Energy Technology Conference and Exhibition, Calgary, Alberta, Canada, March 2024. DOI: 10.2118/218114-MS
Cordeiro, R., Alves, I., Alves, S., Goldman, A. (2024). Being Agile in a Data Science Project. In: Kruchten, P., Gregory, P. (eds) Agile Processes in Software Engineering and Extreme Programming – Workshops. XP XP 2022 2023. Lecture Notes in Business Information Processing, vol 489. Springer, Cham. DOI: 10.1007/978-3-031-48550-3_6
Das, S. (2021). Agile Systems Engineering in Building Complex AI Systems. In: Lawless, W.F., Llinas, J., Sofge, D.A., Mittu, R. (eds) Engineering Artificially Intelligent Systems. Lecture Notes in Computer Science, vol 13000. Springer, Cham. DOI: 10.1007/978-3-030-89385-9_12
Halme, E., Jantunen, M., Vakkuri, V., Kemell, K.-K., & Abrahamsson, P. (2024). Making ethics practical: User stories as a way of implementing ethical consideration in Software Engineering. Information and Software Technology, 167, 107379. DOI: 10.1016/j.infsof.2023.107379
Kraut, N., & Transchel, F. (2022). On the Application of SCRUM in Data Science Projects. 2022 7th International Conference on Big Data Analytics (ICBDA), 1-6. DOI: 10.1109/ICBDA55095.2022.9760341
Romao, L., Villamizar, H., Oliveira, R., Alonso, S., & Kalinowski, M. (2025). Agile Management for Machine Learning: A Systematic Mapping Study. En Software Engineering and Advanced Applications (SEAA 2025) (LNCS 16082, pp. 350–360). Springer. [link]
Publicado
11/05/2026
Como Citar
MAESTRE-GÓNGORA, Gina; GÓMEZ-ÁLVAREZ, María Clara
.
Requirements Engineering for Data Products: Adapting User Stories. In: CONGRESSO IBERO-AMERICANO EM ENGENHARIA DE SOFTWARE (CIBSE), 29. , 2026, Recife/PE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 451-452.
