Yinghua Li

Test input prioritization for image segmentation: an empirical study

TrajectoryTest: A Trajectory-Specific Test Input Prioritization Technique and Empirical Evaluation

A comprehensive empirical study is conducted that confirms the limitations of MLPrior in trajectory prediction scenarios and demonstrates that TrajectoryTest outperforms all existing test input prioritization techniques, including the state-of-the-art approach MLPrior, multiple confidence-based methods, and the baseline random selection.

Semantic Drift in Bug Resolution: How Behavioral Signals Propagate from Reports to Tests and Patches

This analysis covers 2,857 report-test-patch triplets from Defects4J and SWT-Bench using two widely adopted instruction-tuned LLMs from distinct model families and finds that both models exhibit systematic optimism relative to humans and only modest rank agreement, motivating bias-aware evaluation.