AI RESEARCH
SemLoc: Structured Grounding of Free-Form LLM Reasoning for Fault Localization
arXiv CS.AI
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ArXi:2603.29109v1 Announce Type: cross Fault localization identifies program locations responsible for observed failures. Existing techniques rank suspicious code using syntactic spectra--signals derived from execution structure such as statement coverage, control-flow divergence, or dependency reachability. These signals collapse for semantic bugs, where failing and passing executions follow identical code paths and differ only in whether semantic intent is satisfied. Recent LLM-based approaches We present SemLoc, a fault localization framework based on structured semantic grounding.