An ensemble classifier that predicts bug probability from input parameters substantially outperforms random sampling and other search heuristics for triggering rare concurrency bugs in a synthetic benchmark.
Necula and Koushik Sen
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Black-Box Bug-Amplification for Multithreaded Software
An ensemble classifier that predicts bug probability from input parameters substantially outperforms random sampling and other search heuristics for triggering rare concurrency bugs in a synthetic benchmark.