An Autonomy Aware Metamodel for Human AI Collaboration in Software Engineering
- URL: http://arxiv.org/abs/2609.06720v1
- Date: Sun, 06 Sep 2026 16:44:50 GMT
- Title: An Autonomy Aware Metamodel for Human AI Collaboration in Software Engineering
- Abstract summary: This paper presents a vision for autonomy-aware method engineering by proposing a metamodel that treats autonomy as a situation-dependent authority assignment.<n>The metamodel formalizes autonomy through four authority dimensions: task execution, task decomposition, task initiation, and collaboration reconfiguration.<n>This work provides a conceptual foundation for governance-aware, adaptable, and AI-first software engineering methods.
- Score: 2.0257921168455777
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Artificial Intelligence (AI) is shifting software engineering from tool-supported processes towards AI-first collaboration, where authority is dynamically distributed across human and artificial actors. However, existing method engineering approaches assume static, human-centric control and provide limited support explicitly capturing evolving autonomy. This paper presents a vision for autonomy-aware method engineering by proposing a metamodel that treats autonomy not as a fixed property of an actor, but as a derived, situation-dependent authority assignment determined by task, context, and collaboration pattern. The metamodel formalizes autonomy through four authority dimensions: task execution, task decomposition, task initiation, and collaboration reconfiguration. Through an analytical instantiation with a multi-agent requirements analysis tool, we illustrate how the metamodel supports dynamic authority assignment. This work provides a conceptual foundation for governance-aware, adaptable, and AI-first software engineering methods.
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