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ICML
2006
IEEE

Statistical debugging: simultaneous identification of multiple bugs

15 years 7 days ago
Statistical debugging: simultaneous identification of multiple bugs
We describe a statistical approach to software debugging in the presence of multiple bugs. Due to sparse sampling issues and complex interaction between program predicates, many generic off-the-shelf algorithms fail to select useful bug predictors. Taking inspiration from bi-clustering algorithms, we propose an iterative collective voting scheme for the program runs and predicates. We demonstrate successful debugging results on several real world programs and a large debugging benchmark suite.
Alice X. Zheng, Michael I. Jordan, Ben Liblit, May
Added 17 Nov 2009
Updated 17 Nov 2009
Type Conference
Year 2006
Where ICML
Authors Alice X. Zheng, Michael I. Jordan, Ben Liblit, Mayur Naik, Alex Aiken
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