DEFault++ applies hierarchical learning with a Fault Propagation Graph to detect, localize, and diagnose faults in transformers, improving F1 to 0.826-0.909 and developer repair accuracy from 57.1% to 83.3% on a new benchmark of 5,556 mutation-tested runs.
Automatically finding bugs in a classifier: A systematic approach.arXiv preprint arXiv:2003.02907
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Hierarchical Fault Detection and Diagnosis for Transformer Architectures
DEFault++ applies hierarchical learning with a Fault Propagation Graph to detect, localize, and diagnose faults in transformers, improving F1 to 0.826-0.909 and developer repair accuracy from 57.1% to 83.3% on a new benchmark of 5,556 mutation-tested runs.