BLAgent: Agentic RAG for File-Level Bug Localization
Bug localization remains a key bottleneck for large language model (LLM)-based software maintenance, where accurately identifying faulty code is essential for debugging, root cause analysis, triage, and automated program repair (APR). File-level bug localization is especially critical in hierarchical localization and repair pipelines, where incorrect file selection can propagate to downstream stages such as function-level localization and patch generation. While Retrieval-Augmented Generation (RAG) offers a promising way to ground LLMs in repository context, existing RAG pipelines often rely on static retrieval and lack the reasoning needed to accurately identify faulty code. In this work...
| Authors | Md Afif Al Mamun, Gias Uddin |
|---|---|
| Primary category | cs.SE |
| Published | 18 May 2026 |
| Last updated at source | 2 July 2026 |
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