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Iterative Statistical Bug Isolation via Hierarchical Instrumentation

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dc.contributor.author ZUO, Zhiqiang en_US
dc.contributor.author KHOO, Siau-Cheng en_US
dc.date.accessioned 2014-07-15T07:36:37Z en_US
dc.date.accessioned 2017-01-23T06:59:42Z
dc.date.available 2014-07-15T07:36:37Z en_US
dc.date.available 2017-01-23T06:59:42Z
dc.date.issued 2014-07-14 en_US
dc.identifier.uri http://hdl.handle.net/1900.100/4666 en_US
dc.description.abstract Cooperative statistical bug isolation approaches monitor program runtime behavior from end-user executions and apply statistical techniques to pinpoint likely causes of eld failures. Having end-users to run fully instrumented programs is extremely undesirable, as it adds tremendous performance overhead to end-users; it is also unnecessary, since in practice major part of these programs are error-free and need no instrumentation. In order to reduce the monitoring and computational costs as well as the performance overhead of end-users, we propose a novel iterative (and cooperative) statistical bug isolation approach for eld failures via hierarchical instrumentation (HI). Di erent from the existing iterative approaches, our approach via HI does not only maintain small end-user overhead, but also performs iterative bug isolation automatically without developers' intervention, thereby relieving developers of repetitive e orts in isolating bugs. In this paper, we formalize the concept and principles behind the HI technique, and demonstrate its practicality through experimentations. Our experiments show that this new approach via HI saves signi cant instrumentation e ort and sharply reduces runtime overhead, while upholding the accuracy of bug isolation. en_US
dc.language.iso en en_US
dc.relation.ispartofseries TRC7/14; en_US
dc.title Iterative Statistical Bug Isolation via Hierarchical Instrumentation en_US
dc.type Technical Report en_US


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