AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop
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Abstract (arXiv)
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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References · 14
- 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,222
- 2022Survey of Hallucination in Natural Language Generationcited by 2,056
- 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 1,628
- 2016European Union regulations on algorithmic decision-making and a "right to explanation"cited by 343
- 2023Generative Artificial Intelligence for Software Engineering -- A Research Agendacited by 23
- 2023Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmapscited by 19
- 2024Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprisecited by 17
- 2024Prototyping with Prompts: Emerging Approaches and Challenges in Generative AI Design for Collaborative Software Teamscited by 16
- 2024LLM-based agents for automating the enhancement of user story quality: An early reportcited by 13
- 2024Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventionscited by 10
- 2024Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistantscited by 9
- 2024Transforming Software Development with Generative AI: Empirical Insights on Collaboration and Workflowcited by 6
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