{"ID":2854525,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.14465","arxiv_id":"2510.14465","title":"Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2510.14465","url_pdf":"https://arxiv.org/pdf/2510.14465v1","authors":"[\"Adem Ait\",\"Gwendal Jouneaux\",\"Javier Luis Cánovas Izquierdo\",\"Jordi Cabot\"]","published":"2025-10-16T09:05:47Z","proceeding":"cs.SE","tasks":"[\"cs.SE\"]","methods":"[]","has_code":false}