PIE: A Dynamic Failure-Based Technique
IEEE Transactions on Software Engineering
Yesterday, my program worked. Today, it does not. Why?
ESEC/FSE-7 Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT international symposium on Foundations of software engineering
Why Programs Fail: A Guide to Systematic Debugging
Why Programs Fail: A Guide to Systematic Debugging
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Proceedings of the 28th international conference on Software engineering
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
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Proceedings of the 2009 ACM SIGPLAN conference on Programming language design and implementation
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Proceedings of the 19th international symposium on Software testing and analysis
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Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
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ACM Transactions on Software Engineering and Methodology (TOSEM)
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Delta debugging has been proposed for failure-inducing changes identification. Despite promising results, there are two practical factors that thwart the application of delta debugging: large number of tests and misleading false positives. To address the issues, we present a combination of coverage analysis and delta debugging that automatically isolates failure-inducing changes. Evaluations on twelve real regressions in GNU software demonstrate both the speed gain and effectiveness improvements.