Regression test selection by exclusion
This 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 o...
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United Kingdom : Durham University
2012
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my.umt.ir-19802012-10-08T04:02:22Z Regression test selection by exclusion Amir Ngah QA 278.2 .A4 2012 Amir Ngah Tesis Durham University 2012 Regression analysis This 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. 2012-10-08T04:02:22Z 2012-10-08T04:02:22Z 2012-05 Thesis http://hdl.handle.net/123456789/1980 en application/pdf application/pdf United Kingdom : Durham University |
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QA 278.2 .A4 2012 Amir Ngah Tesis Durham University 2012 Regression analysis |
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QA 278.2 .A4 2012 Amir Ngah Tesis Durham University 2012 Regression analysis Amir Ngah Regression test selection by exclusion |
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This 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. |
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Thesis |
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Amir Ngah |
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Amir Ngah |
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Amir Ngah |
title |
Regression test selection by exclusion |
title_short |
Regression test selection by exclusion |
title_full |
Regression test selection by exclusion |
title_fullStr |
Regression test selection by exclusion |
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Regression test selection by exclusion |
title_sort |
regression test selection by exclusion |
publisher |
United Kingdom : Durham University |
publishDate |
2012 |
url |
http://hdl.handle.net/123456789/1980 |
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1738395498819092480 |
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13.222552 |