LLM-based Automated Architecture View Generation: Where Are We Now?
Architecture views are essential for software architecture documentation, yet their manual creation is labor intensive and often leads to outdated artifacts. As systems grow in complexity, the automated generation of views from source code becomes increasingly valuable. Goal: We empirically evaluate the ability of LLMs and agentic approaches to generate architecture views from source code. Method: We analyze 340 open-source repositories across 13 experimental configurations using 3 LLMs with 3 prompting techniques and 2 agentic approaches, yielding 4,137 generated views. We evaluate the generated views by comparing them with the ground-truth using a combination of automated metrics comple...
| Authors | Miryala Sathvika, Rudra Dhar, Karthik Vaidhyanathan |
|---|---|
| Primary category | cs.SE |
| Published | 22 March 2026 |
| Last updated at source | 22 March 2026 |
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