Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects

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.

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Published
2025-11-16
DOI
https://doi.org/10.1109/ase63991.2025.00337
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
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article

Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects

Gwendal Jouneaux, Javier Luis Izquierdo, Adem Ait, Jordi Cabot
Multi-Agent Systems and Negotiation
article

Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects

Gwendal Jouneaux, Javier Luis Izquierdo, Adem Ait, Jordi Cabot
article en

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.

Universitat Oberta de Catalunya (ES), University of Luxembourg (LU), Luxembourg Institute of Science and Technology (LU)
Partnerships for the goals
Openalex Percentile: Top 15%
Multi-Agent Systems and Negotiation
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