Abstract
This study explores the integration of eXtreme Programming (XP) and the Cross-Industry Standard Process for Data Mining (CRISP-DM) in agile Data Science projects. We conducted a case study at the e-commerce company Elo7 to answer the research question: How can the agility of the XP method be integrated with CRISP-DM in Data Science projects? Data was collected through interviews and questionnaires with a Data Science team consisting of data scientists, ML engineers, and data product managers. The results show that 86% of the team frequently or always applies CRISP-DM, while 71% adopt XP practices in their projects. Furthermore, the study demonstrates that it is possible to combine CRISP-DM with XP in Data Science projects, providing a structured and collaborative approach. Finally, the study generated improvement recommendations for the company.
Cite
CITATION STYLE
Shimaoka, A. M., Ferreira, R. C., & Goldman, A. (2025). Integrating CRISP-DM and eXtreme Programming in Agile Data Science Projects. European Journal of Electrical Engineering and Computer Science, 9(4), 1–7. https://doi.org/10.24018/ejece.2025.9.4.739
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