DARC-Sched: A Data-Aware Multi-Agent Large Language Model Framework for Scalable Software Vulnerability Detection and Repair with Optimized Code Data Scheduling
Results validate that integrating data-aware scheduling with multi-agent reasoning significantly improves both detection accuracy and system efficiency in large-scale software vulnerability analysis.