An Autonomy Aware Metamodel for Human AI Collaboration in Software Engineering

📅 2026-09-06
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文提出了一种自主感知的元模型,通过四个权威维度动态分配任务和合作中的权限,以支持人与AI在软件工程中的协作。
📝 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.
Problem

Research questions and friction points this paper is trying to address.

Autonomy
Human-AI Collaboration
Software Engineering
Authority Distribution
Innovation

Methods, ideas, or system contributions that make the work stand out.

Autonomy-aware metamodel
Dynamic authority assignment
AI-first collaboration
Method engineering
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