Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects
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Abstract (arXiv)
The stakeholders involved in software development are becoming increasingly diverse, with both human contributors from varied backgrounds and AI-powered agents collaborating together in the process. This situation presents unique governance challenges, particularly in Open-Source Software (OSS) projects, where explicit policies are often lacking or unclear. This paper presents the vision and foundational concepts for a novel Domain-Specific Language (DSL) designed to define and enforce rich governance policies in systems involving diverse stakeholders, including agents. This DSL offers a pathway towards more robust, adaptable, and ultimately automated governance, paving the way for more effective collaboration in software projects, especially OSS ones.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Oct 2025.
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Citing papers per year: 2026: 4.
4 papers.
- 2026Governed AI-Assisted Engineering: Graduated Human Oversight for Agentic Code Generation in Regulated Domainscited by 2
- 2026Cheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineeringcited by 2
- 2026Vibe-driven model-based engineeringcited by 0
- 2026Model-Based Agentic Software Engineeringcited by 0
- 2026Model-Based Agentic Software Engineering25 Aug 2026
- 2026Cheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineering1 Jul 2026
- 2026Governed AI-Assisted Engineering: Graduated Human Oversight for Agentic Code Generation in Regulated Domains21 Jun 2026
- 2026Vibe-driven model-based engineering12 Apr 2026