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An Application of Association Rule Mining to Unit Test Selection

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dc.description.abstract Appropriate selection of unit tests during the software development process is vital when many unit tests exist. The developer may be unfamiliar with some tests and non-obvious relationships between application code and test code may exist. Poor test selection may lead to defects. This is especially true when the application is large and many developers are involved. By the application of association rule mining to the unit test selection process and by comparison with extant selection techniques, we will provide a quantitative analysis of the benefits of heuristic and its limit to development where process patterns are stable. en_US
dc.title An Application of Association Rule Mining to Unit Test Selection en_US
dc.date.accessioned 2013-07-16T19:03:57Z
dc.date.available 2013-07-16T19:03:57Z
dc.date.issued 2013-07-16
dc.identifier.uri http://hdl.handle.net/10365/23042
dc.thesis.degree Paper (M.S.)--North Dakota State University, 2013. en_US
dc.contributor.advisor Do, Hyunsook
dc.subject.lcsh Computer software -- Testing. en_US
dc.subject.lcsh Computer software -- Validation. en_US
dc.subject.lcsh Computer software -- Verification. en_US
dc.subject.lcsh Association rule mining. en_US
dc.creator.author Gunderson, Karl Nils
dc.degree.departmentCollege Master of Science / Computer Science, College of Science and Mathematics, 2013.
dc.date.created 2013

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