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SIGSOFT
2007
ACM

Using groupings of static analysis alerts to identify files likely to contain field failures

10 years 16 hour ago
Using groupings of static analysis alerts to identify files likely to contain field failures
In this paper, we propose a technique for leveraging historical field failure records in conjunction with automated static analysis alerts to determine which alerts or sets of alerts are predictive of a field failure. Our technique uses singular value decomposition to generate groupings of static analysis alert types, which we call alert signatures, that have been historically linked to field failure-prone files in previous releases of a software system. The signatures can be applied to sets of alerts from a current build of a software system. Files that have a matching alert signature are identified as having similar static analysis alert characteristics to files with known field failures in a previous release of the system. We performed a case study involving an industrial software system at IBM and found three distinct alert signatures that could be applied to the system. We found that 50% of the field failures reported since the last static analysis run could be discovered by exam...
Mark Sherriff, Sarah Smith Heckman, J. Michael Lak
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2007
Where SIGSOFT
Authors Mark Sherriff, Sarah Smith Heckman, J. Michael Lake, Laurie A. Williams
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