PCD-DAug uses a diffusion model guided by program-slicing and PCA-derived contexts to generate synthetic failing test cases, improving fault localization effectiveness across six methods.
Historical spectrum based fault localization.IEEE Transactions on Software Engineering, 47(11):2348–2368, 2019
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Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization
PCD-DAug uses a diffusion model guided by program-slicing and PCA-derived contexts to generate synthetic failing test cases, improving fault localization effectiveness across six methods.