AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866914178044788736 |
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| author | Herda, Tomas Pichler, Victoria Zhang, Zheying Abrahamsson, Pekka Hanssen, Geir K. |
| author_facet | Herda, Tomas Pichler, Victoria Zhang, Zheying Abrahamsson, Pekka Hanssen, Geir K. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20159 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary Herda, Tomas Pichler, Victoria Zhang, Zheying Abrahamsson, Pekka Hanssen, Geir K. Software Engineering Artificial Intelligence 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. |
| title | AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary |
| topic | Software Engineering Artificial Intelligence |
| url | https://arxiv.org/abs/2506.20159 |