Integrating CRISP-DM and eXtreme Programming in Agile Data Science Projects
Shimaoka,Andre Massahiro Ferreira,Renato Cordeiro Goldman,Alfredo
Shimaoka,Andre Massahiro
Ferreira,Renato Cordeiro
Goldman,Alfredo
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.
Description
Date
2025-07-31
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Publisher
Research Projects
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Keywords
Agile, CRISP-DM, Data Science, Extreme Programming
Citation
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, vol. 9, no. 4, pp. 1-7. https://doi.org/10.24018/ejece.2025.9.4.739