AIBullisharXiv – CS AI · 11h ago6/10
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From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs
Researchers introduce RegressionBug4APR, a benchmark of 200 real-world Java and Python regression bugs, to evaluate automated program repair (APR) techniques. The study finds that traditional APR tools fail entirely on regression bugs, while LLM-based approaches show promise, achieving 1.6x better results when enhanced with bug-inducing change context.