arXiv Open Access 2025

Leveraging XP and CRISP-DM for Agile Data Science Projects

Andre Massahiro Shimaoka Renato Cordeiro Ferreira Alfredo Goldman

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Abstrak

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.

Topik & Kata Kunci

cs.SE cs.AI cs.LG

Penulis (3)

Andre Massahiro Shimaoka

Renato Cordeiro Ferreira

Alfredo Goldman

Format Sitasi

APA MLA BibTeX

Shimaoka, A.M., Ferreira, R.C., Goldman, A. (2025). Leveraging XP and CRISP-DM for Agile Data Science Projects. https://arxiv.org/abs/2505.21603

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓