聚焦AI融入敏捷开发的痛点，推动产学研协同攻关
AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
- 汇聚学界与业界，系统梳理AI集成中的工具、治理与数据难题
- 识别核心障碍并形成可落地的研究路线图，明确短期与长期目标
- 适合关注AI+软件工程落地的开发者、研究者与团队管理者
XP2025大会中关于AI与敏捷软件开发的全天工作坊，汇集了来自学术界和产业界的多元参与者，共同探讨将人工智能融入敏捷开发实践所面临的实际挑战与机遇。通过互动研讨，与会者识别出在工具支持、治理机制、数据质量及关键技能方面的共性困境，并对这些问题进行优先级排序与根因分析。最终，工作坊协同制定出一份研究路线图，明确了未来工作的可行动方向，涵盖即时解决方案与长远目标。核心成果是一个结构化议程，旨在促进产业与学术界的协作，推动从现有困扰迈向成功落地。
原文摘要 · Abstract (English)
The full-day workshop on AI and Agile at XP 2025 convened a diverse group of researchers and industry practitioners to address the practical challenges and opportunities of integrating Artificial Intelligence into Agile software development. Through interactive sessions, participants identified shared frustrations related to integrating AI into Agile Software Development practices, including challenges with tooling, governance, data quality, and critical skill gaps. These challenges were systematically prioritized and analyzed to uncover root causes. The workshop culminated in the collaborative development of a research roadmap that pinpoints actionable directions for future work, including both immediate solutions and ambitious long-term goals. The key outcome is a structured agenda designed to foster joint industry-academic efforts to move from identified frustrations to successful implementation.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。