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Recently, there has been much interest in developing analyzes to detect concurrency bugs that arise because of data races, atomicity violations, execution omission, etc. How-ever, determining whether reported bugs are in fact real, and understanding how these bugs lead to incorrect behavior, remains a labor-intensive process. This paper proposes a novel dynamic analysis that automatically produces the causal path of a concurrent failure leading from the root cause to the failure. Given two schedules, one inducing the failure and the other not, the technique collects traces of the two executions, and compares them to identify salient differences.
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