AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop
August 28, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Zheying Zhang, Tomas Herda, Victoria Pichler, Pekka Abrahamsson, Geir K. Hanssen, Joshua Kerievsky, Alex Polyakov, Mohit Chandna, Marius Irgens, Kai-Kristian Kemell, Ayman Asad Khan, Crystal Kwok, Evan Leybourn, Munish Malik, Dorota Mleczko, Morteza Moalagh, Christopher Morales, Yuliia Pieskova, Daniel PlanΓΆtscher, Mika Saari, Anastasiia Tkalich, Karl Josef Gstettner, Xiaofeng Wang
arXiv ID
2508.20563
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper synthesizes the key findings from a full-day XP2025 workshop on "AI and Agile: From Frustration to Success", held in Brugg-Windisch, Switzerland. The workshop brought together over 30 interdisciplinary academic researchers and industry practitioners to tackle the concrete challenges and emerging opportunities at the intersection of Generative Artificial Intelligence (GenAI) and agile software development. Through structured, interactive breakout sessions, participants identified shared pain points like tool fragmentation, governance, data quality, and critical skills gaps in AI literacy and prompt engineering. These issues were further analyzed, revealing underlying causes and cross-cutting concerns. The workshop concluded by collaboratively co-creating a multi-thematic research roadmap, articulating both short-term, implementable actions and visionary, long-term research directions. This cohesive agenda aims to guide future investigation and drive the responsible, human-centered integration of GenAI into agile practices.
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