LLM Consortium for Software Design Refinement: A Controlled Experiment on Multi-Agent Collaboration Topologies
We present a controlled experiment evaluating 12 multi-agent LLM collaboration topologies for software architecture design. Using a $2\times2\times2$ factorial design (Authority $\times$ Roles $\times$ Dynamics), we conducted 520 experimental runs across 8 design tasks of varying complexity, with 5 repetitions each. Designs were evaluated on a 12-dimensional rubric by three independent automated evaluators (GPT-OSS 120B, Claude Opus 4.6, Claude Sonnet 4.6). We report four core findings. First, structural adversarial (v4b) ranks #1 by ensemble -- a prompt-engineered adversarial variant that demands rewrite mandates rather than patches (weighted ensemble: 4.637/5.0). Second, cross-model rev...
| Authors | Nagarjuna Kanamarlapudi, Praveen K |
|---|---|
| Primary category | cs.SE |
| Published | 31 May 2026 |
| Last updated at source | 31 May 2026 |
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