Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects
- URL: http://arxiv.org/abs/2510.14465v1
- Date: Thu, 16 Oct 2025 09:05:47 GMT
- Title: Towards Automated Governance: A DSL for Human-Agent Collaboration in Software Projects
- Abstract summary: Domain-Specific Language ( DSL) designed to define and enforce rich governance policies in systems involving diverse stakeholders, including agents.<n>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.
- Score: 2.429525414877047
- License: http://creativecommons.org/licenses/by-sa/4.0/
- 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.
Related papers
- Rethinking Software Development as a Self-Adaptive Socio-Technical System [2.737035945392694]
Agentic AI is expanding across various software engineering activities, yet human-agent organization is typically treated as fixed.<n>We propose viewing software development as a self-adaptive socio-technical system in which both the software project and the development configuration adapt as goals, evidence, uncertainty, and risk evolve.
arXiv Detail & Related papers (2026-09-11T19:26:49Z) - Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge [170.47383225329915]
Multi-agent system frameworks are becoming essential for achieving scalable, efficient, and collaborative solutions.<n>This shift is fueled by three primary factors: increasing agent capabilities, enhancing system efficiency through task delegation, and enabling advanced human-agent interactions.<n>We propose the Multi-Agent Robotic System (MARS) Challenge, held at the NeurIPS 2025 Workshop on SpaVLE.
arXiv Detail & Related papers (2026-01-26T17:56:19Z) - Towards autonomous normative multi-agent systems for Human-AI software engineering teams [12.30011041819647]
We introduce a new class of software engineering agents equipped with beliefs, desires, intentions, and memory to enable human-like reasoning.<n>These agents collaborate with humans and other agents to design, implement, test, and deploy software systems with a level of speed, reliability, and adaptability far beyond the current software development processes.
arXiv Detail & Related papers (2025-12-02T01:57:17Z) - A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development [41.295627885484855]
We present a vision of an iterative end-to-end automated software development paradigm AutoSW.<n>It operates in an analyze-plan-implement-deliver loop, where AI systems as human partners become first-class actors.<n>The results indicate that AutoSW can successfully deliver executable software.
arXiv Detail & Related papers (2025-11-19T09:57:49Z) - SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience [71.82719117238307]
We propose SEAgent, an agentic self-evolving framework enabling computer-use agents to evolve through interactions with unfamiliar software.<n>We validate the effectiveness of SEAgent across five novel software environments within OS-World.<n>Our approach achieves a significant improvement of 23.2% in success rate, from 11.3% to 34.5%, over a competitive open-source CUA.
arXiv Detail & Related papers (2025-08-06T17:58:46Z) - Agentic Web: Weaving the Next Web with AI Agents [109.13815627467514]
The emergence of AI agents powered by large language models (LLMs) marks a pivotal shift toward the Agentic Web.<n>In this paradigm, agents interact directly with one another to plan, coordinate, and execute complex tasks on behalf of users.<n>We present a structured framework for understanding and building the Agentic Web.
arXiv Detail & Related papers (2025-07-28T17:58:12Z) - Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development [65.94639060883475]
We propose a resource-aware multi-agent system -- Co-Saving.<n>Our key innovation is the introduction of "shortcuts"<n>Compared to the state-of-the-art MAS ChatDev, our method achieves an average reduction of 50.85% in token usage.
arXiv Detail & Related papers (2025-05-28T02:23:53Z) - An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems [32.48561526824382]
A multi-agent AI system (MAS) is composed of multiple autonomous agents that interact, exchange information, and make decisions based on internal generative models.<n>This paper outlines a formal framework for analyzing MAS, focusing on two core aspects: effectiveness and safety.
arXiv Detail & Related papers (2025-05-23T22:05:19Z) - Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach [35.05793485239977]
We propose AgentNet, a novel framework for supporting interaction, collaborative learning, and knowledge transfer among AI agents.<n>We consider two application scenarios, digital-twin-based industrial automation and metaverse-based infotainment system, to describe how to apply AgentNet.
arXiv Detail & Related papers (2025-03-20T00:48:44Z) - Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms [8.177915265718703]
We argue that AI agents should be empowered to adjust their objectives dynamically.<n>We call for a shift toward the emergent, self-organizing, and context-aware nature of these multi-agentic AI systems.
arXiv Detail & Related papers (2025-02-05T22:20:15Z) - Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence [79.5316642687565]
Existing multi-agent frameworks often struggle with integrating diverse capable third-party agents.
We propose the Internet of Agents (IoA), a novel framework that addresses these limitations.
IoA introduces an agent integration protocol, an instant-messaging-like architecture design, and dynamic mechanisms for agent teaming and conversation flow control.
arXiv Detail & Related papers (2024-07-09T17:33:24Z) - Agent-Driven Automatic Software Improvement [55.2480439325792]
This research proposal aims to explore innovative solutions by focusing on the deployment of agents powered by Large Language Models (LLMs)
The iterative nature of agents, which allows for continuous learning and adaptation, can help surpass common challenges in code generation.
We aim to use the iterative feedback in these systems to further fine-tune the LLMs underlying the agents, becoming better aligned to the task of automated software improvement.
arXiv Detail & Related papers (2024-06-24T15:45:22Z) - Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions [50.545824691484796]
We identify six themes around the theme challenges and opportunities to improve Software Developer Diversity and Inclusion (SDDI)<n>We identify benefits, harms, and future research directions for the four main themes.<n>We discuss the remaining two themes, Artificial Intelligence & SDDI and AI & Computer Science education, which have a cross-cutting effect on the other themes.
arXiv Detail & Related papers (2024-04-10T16:18:11Z) - Agreement Technologies for Coordination in Smart Cities [2.227417514684251]
Agreement technologies are a suitable means for achieving coordination in smart city domains.
This paper argues that agreement technologies are a suitable means for achieving coordination in smart city domains.
arXiv Detail & Related papers (2024-01-21T17:43:08Z) - ChatDev: Communicative Agents for Software Development [84.90400377131962]
ChatDev is a chat-powered software development framework in which specialized agents are guided in what to communicate.
These agents actively contribute to the design, coding, and testing phases through unified language-based communication.
arXiv Detail & Related papers (2023-07-16T02:11:34Z) - The GitHub Development Workflow Automation Ecosystems [47.818229204130596]
Large-scale software development has become a highly collaborative endeavour.
This chapter explores the ecosystems of development bots and GitHub Actions.
It provides an extensive survey of the state-of-the-art in this domain.
arXiv Detail & Related papers (2023-05-08T15:24:23Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.