The author presents a novel fault localization technique using conditional probability and grouping to improve software debugging efficiency significantly.
AGENTFL introduces a multi-agent system for automated fault localization, enhancing Large Language Models (LLMs) to diagnose bugs at the project level.
AGENTFL is a multi-agent system based on ChatGPT for automated fault localization, addressing the limitations of existing LLM-based techniques in handling large codebases.