凝练AI与敏捷开发融合的痛点与研究方向
AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop
- 汇聚30+学者与从业者，聚焦GenAI与敏捷开发的实践难题
- 识别出工具碎片化、数据质量差、AI素养不足等核心问题
- 提出兼具短期落地与长期愿景的研究路线图
本文综述了在瑞士布鲁格-温迪施举办的XP2025研讨会“人工智能与敏捷：从挫折到成功”的核心成果。研讨会聚集了超过30位跨学科研究人员与产业实践者，共同探讨生成式人工智能（GenAI）与敏捷软件开发交汇处的具体挑战与新兴机遇。通过结构化、互动式的分组讨论，参与者识别出工具碎片化、治理困难、数据质量差以及AI素养和提示工程能力缺失等共性痛点。这些问题被深入分析，揭示其根本原因与跨领域关切。研讨会最终协同制定了一份多主题研究路线图，明确短期可执行举措与长期研究方向，旨在引导未来研究，推动GenAI在敏捷实践中负责任、以人为本的融合。
原文摘要 · Abstract (English)
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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