Knowledge-Guided Multi-Agent Framework for Automated Requirements Development: A Vision
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
This paper envisions a knowledge-guided multi-agent framework named KGMAF for automated requirements development. KGMAF aims to address gaps in current automation systems for SE, which prioritize code development and overlook the complexities of requirements tasks. KGMAF is composed of six specialized agents and an artifact pool to improve efficiency and accuracy. Specifically, KGMAF outlines the functionality, actions, and knowledge of each agent and provides the conceptual design of the artifact pool. Our case study highlights the potential of KGMAF in real-world scenarios. Finally, we outline several research opportunities for implementing and enhancing automated requirements development using multi-agent systems. We believe that KGMAF will play a pivotal role in shaping the future of automated requirements development in the era of LLMs.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 11 of its 21 references that are in the map. First posted on arXiv 27 Jun 2025.
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11 of 21 references.
Closest ancestors · 2
Same direction, newest first
- 2024MARE: Multi-Agents Collaboration Framework for Requirements Engineering6 May
- 2023ChatDev: Communicative Agents for Software Development16 Jul
Other references · 9
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- 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
- 2024Source Code Summarization in the Era of Large Language Modelscited by 30
- 2024Using LLMs in Software Requirements Specifications: An Empirical Evaluationcited by 20
- 2024An Evaluation of Requirements Modeling for Cyber-Physical Systems via LLMscited by 6
- 2024GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Trainingcited by 3
- 2024Multi-Label Requirements Classification with Large Taxonomiescited by 1
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- 2025Knowledge-Based Multi-Agent Framework for Automated Software Architecture Design
- 2026Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical Memory
- 2026Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report
- 2025Goal2Story: A Multi-Agent Fleet based on Privately Enabled sLLMs for Impacting Mapping on Requirements Elicitation
- 2024CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology