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Automatic mining of source code repositories to improve bug finding techniques
by
Williams, C.C.
, Hollingsworth, J.K.
in
API
/ Automation
/ Checkers
/ Computer bugs
/ Computer programming
/ Computer programs
/ configuration control
/ Data mining
/ Debugging
/ debugging aids
/ Detectors
/ History
/ Index Terms- Testing tools
/ Information retrieval
/ Inspection
/ Mining
/ Open source software
/ Programming profession
/ Repositories
/ Searching
/ Sensors
/ Software
/ Source code
/ Studies
/ version control
/ Warning
/ Web server
2005
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Automatic mining of source code repositories to improve bug finding techniques
by
Williams, C.C.
, Hollingsworth, J.K.
in
API
/ Automation
/ Checkers
/ Computer bugs
/ Computer programming
/ Computer programs
/ configuration control
/ Data mining
/ Debugging
/ debugging aids
/ Detectors
/ History
/ Index Terms- Testing tools
/ Information retrieval
/ Inspection
/ Mining
/ Open source software
/ Programming profession
/ Repositories
/ Searching
/ Sensors
/ Software
/ Source code
/ Studies
/ version control
/ Warning
/ Web server
2005
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Do you wish to request the book?
Automatic mining of source code repositories to improve bug finding techniques
by
Williams, C.C.
, Hollingsworth, J.K.
in
API
/ Automation
/ Checkers
/ Computer bugs
/ Computer programming
/ Computer programs
/ configuration control
/ Data mining
/ Debugging
/ debugging aids
/ Detectors
/ History
/ Index Terms- Testing tools
/ Information retrieval
/ Inspection
/ Mining
/ Open source software
/ Programming profession
/ Repositories
/ Searching
/ Sensors
/ Software
/ Source code
/ Studies
/ version control
/ Warning
/ Web server
2005
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Automatic mining of source code repositories to improve bug finding techniques
Journal Article
Automatic mining of source code repositories to improve bug finding techniques
2005
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Overview
We describe a method to use the source code change history of a software project to drive and help to refine the search for bugs. Based on the data retrieved from the source code repository, we implement a static source code checker that searches for a commonly fixed bug and uses information automatically mined from the source code repository to refine its results. By applying our tool, we have identified a total of 178 warnings that are likely bugs in the Apache Web server source code and a total of 546 warnings that are likely bugs in Wine, an open-source implementation of the Windows API. We show that our technique is more effective than the same static analysis that does not use historical data from the source code repository.
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