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Computer Science > Software Engineering

Title: Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants

Abstract: This action research study focuses on the integration of "AI assistants" in two Agile software development meetings: the Daily Scrum and a feature refinement, a planning meeting that is part of an in-house Scaled Agile framework. We discuss the critical drivers of success, and establish a link between the use of AI and team collaboration dynamics. We conclude with a list of lessons learnt during the interventions in an industrial context, and provide a assessment checklist for companies and teams to reflect on their readiness level. This paper is thus a road-map to facilitate the integration of AI tools in Agile setups.
Comments: International Conference on Agile Software Development (XP 2024), 14 pages
Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2404.14871 [cs.SE]
  (or arXiv:2404.14871v1 [cs.SE] for this version)

Submission history

From: Beatriz Cabrero-Daniel [view email]
[v1] Tue, 23 Apr 2024 09:55:25 GMT (1418kb,D)

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