Regression test selection by exclusion

Simple item page
dc.contributor.authorAmir Ngah
dc.date.accessioned2012-10-08T04:02:22Z
dc.date.available2012-10-08T04:02:22Z
dc.date.issued2012-05
dc.description.abstractThis thesis addresses the research in the area of regression testing. Software systems change and evolve over time. Each time a system is changed regression tests have to be run to validate these changes. An important issue in regression testing is how to minimise reuse the existing test cases of original program for modified program. One of the techniques to tackle this issue is called regression test selection technique. The aim of this research is to significantly reduce the number of test cases that need to be run after changes have been made. Specifically, this thesis focuses on developing a model for regression test selection using the decomposition slicing technique.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1980
dc.language.isoenen_US
dc.publisherUnited Kingdom : Durham Universityen_US
dc.subjectQA 278.2 .A4 2012en_US
dc.subjectAmir Ngahen_US
dc.subjectTesis Durham University 2012en_US
dc.subjectRegression analysisen_US
dc.titleRegression test selection by exclusionen_US
dc.typeThesisen_US
Files
Collections