NDSU North Dakota State University
Fargo, N.D.
library-image

NDSU Institutional Repository

An Application of Association Rule Mining to Unit Test Selection

Show simple item record

dc.contributor.author Gunderson, Karl Nils
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.date 2013 en_US
dc.thesis.degree Master of Science. en_US
dc.contributor.advisor Do, Hyunsook
dc.subject.course Master of Science / Computer Science, College of Science and Mathematics, 2013. en_US

This item appears in the following Collection(s)

Show simple item record

Search DSpace



Advanced Search

Browse

Your Account