A Multi-Agent Consensus Protocol for Stable Software Remodularization
AI agents negotiate software architecture changes to balance cohesion and stability.
Ahmed Ibrahim from the Computer Science community has proposed a groundbreaking approach to software remodularization using a Multi-Agent Consensus Protocol. Published on arXiv as *A Multi-Agent Consensus Protocol for Stable Software Remodularization*, this work reframes module clustering as a distributed consensus problem among autonomous agents.
The core innovation is the Asymmetric Monotonic Concession Protocol (AMCP), which enables agents to negotiate software decompositions that respect multi-attribute utility thresholds. Ibrahim formally proves the protocol’s termination and bounded concession behavior, consistent with the Zeuthen Strategy under closed-instance conditions. Preliminary experiments on synthetic benchmarks and the Xwork Java framework demonstrate that AMCP matches state-of-the-art optimizers when stability budgets are loose, while acting as a 'circuit breaker' to enforce strict stability constraints in volatile systems. Extended results on ten additional systems are forthcoming.
- Proposed by Ahmed Ibrahim, the AMCP protocol enables AI agents to negotiate software architecture changes autonomously
- Balances structural cohesion and evolutionary stability using a Zeuthen Strategy-based negotiation approach
- Early tests on Xwork Java framework show it matches state-of-the-art optimizers while enforcing strict stability constraints
Why It Matters
Revolutionizes software maintenance by automating architecture decisions while preserving stability in evolving codebases.