Collaborative LLM Agents for C4 Software Architecture Design Automation
October 26, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Kamil Szczepanik, JarosΕaw A. Chudziak
arXiv ID
2510.22787
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Software architecture design is a fundamental part of creating every software system. Despite its importance, producing a C4 software architecture model, the preferred notation for such architecture, remains manual and time-consuming. We introduce an LLM-based multi-agent system that automates this task by simulating a dialogue between role-specific experts who analyze requirements and generate the Context, Container, and Component views of the C4 model. Quality is assessed with a hybrid evaluation framework: deterministic checks for structural and syntactic integrity and C4 rule consistency, plus semantic and qualitative scoring via an LLM-as-a-Judge approach. Tested on five canonical system briefs, the workflow demonstrates fast C4 model creation, sustains high compilation success, and delivers semantic fidelity. A comparison of four state-of-the-art LLMs shows different strengths relevant to architectural design. This study contributes to automated software architecture design and its evaluation methods.
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