English

SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing

Multiagent Systems 2026-04-13 v3 Artificial Intelligence Distributed, Parallel, and Cluster Computing Emerging Technologies Software Engineering

Abstract

We present SPEAR, a multi-agent coordination framework for smart contract auditing that applies established MAS patterns in a realistic security analysis workflow. SPEAR models auditing as a coordinated mission carried out by specialized agents: a Planning Agent prioritizes contracts using risk-aware heuristics, an Execution Agent allocates tasks via the Contract Net protocol, and a Repair Agent autonomously recovers from brittle generated artifacts using a programmatic-first repair policy. Agents maintain local beliefs updated through AGM-compliant revision, coordinate via negotiation and auction protocols, and revise plans as new information becomes available. An empirical study compares the multi-agent design with centralized and pipeline-based alternatives under controlled failure scenarios, focusing on coordination, recovery behavior, and resource use.

Keywords

Cite

@article{arxiv.2602.04418,
  title  = {SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing},
  author = {Indraveni Chebolu and Arnab Mallick and Harmesh Rana},
  journal= {arXiv preprint arXiv:2602.04418},
  year   = {2026}
}

Comments

Accepted at 14th International Workshop on Engineering Multi-Agent Systems(EMAS @ AAMAS)

R2 v1 2026-07-01T09:35:42.877Z