MemFL gives an LLM static project summaries and dynamic debugging tips, and reports a 12.7% Top-1 accuracy gain over LLM fault localization baselines on Defects4J with lower time and cost.
Systematic analysis of learning-based software fault localization,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Improving LLM-Based Fault Localization with External Memory and Project Context
MemFL gives an LLM static project summaries and dynamic debugging tips, and reports a 12.7% Top-1 accuracy gain over LLM fault localization baselines on Defects4J with lower time and cost.