{"ID":5937135,"CreatedAt":"2026-07-07T03:14:33.014478982Z","UpdatedAt":"2026-07-09T11:06:26.522512815Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.04948","arxiv_id":"2607.04948","title":"Using Process Mining to Generate AI Agents from Software Engineering Process Records","abstract":"Integrating AI agents into Software Engineering (SE) raises an important challenge: how can we specify and realize AI agents that work effectively alongside humans in hybrid SE teams? Determining the right granularity and separation of concerns for such agents is non-trivial. Coarse-grained agents may introduce unmanageable complexity, whereas micro-agents may create severe coordination overhead. Moreover, existing multi-agent SE frameworks typically rely on predefined role structures and do not account for project-specific characteristics or process adaptations. We address this by combining object-centric, imperative, and declarative process mining. Using event logs extracted from software repositories, our approach discovers project-specific agent roles using a predefined SE role vocabulary grounded in repository behavior and generates matching agent specifications and implementations. As proof-of-concept, we applied our approach to a well-established open-source project. We performed functional tests and an exploratory user study to determine how well the generated AI agent specifications are aligned with human expectations.","short_abstract":"Integrating AI agents into Software Engineering (SE) raises an important challenge: how can we specify and realize AI agents that work effectively alongside humans in hybrid SE teams? Determining the right granularity and separation of concerns for such agents is non-trivial. Coarse-grained agents may introduce unmanag...","url_abs":"https://arxiv.org/abs/2607.04948","url_pdf":"https://arxiv.org/pdf/2607.04948v1","authors":"[\"Saimir Bala\",\"Fabiana Fournier\",\"Lior Limonad\",\"Andreas Metzger\"]","published":"2026-07-06T11:22:25Z","proceeding":"cs.SE","tasks":"[\"cs.SE\"]","methods":"[\"LoRA\"]","has_code":false}