Related papers: AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop

AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop

URL: http://arxiv.org/abs/2508.20563v1
Date: Thu, 28 Aug 2025 08:56:32 GMT
Title: AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop
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 Planötscher, Mika Saari, Anastasiia Tkalich, Karl Josef Gstettner, Xiaofeng Wang,
Abstract summary: 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.<n>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.
Score: 5.304473343081333
License: http://creativecommons.org/licenses/by/4.0/
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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