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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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Main Author: Amir Ngah
Format: Thesis
Language:English
Published: United Kingdom : Durham University 2012
Subjects:
QA 278.2 .A4 2012
Amir Ngah
Tesis Durham University 2012
Regression analysis
Online Access:http://hdl.handle.net/123456789/1980
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spelling 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
institution Universiti Malaysia Terengganu
building Perpustakaan Sultanah Nur Zahirah
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Terengganu
content_source UMT-IR
url_provider http://umt-ir.umt.edu.my:8080/
language English
topic QA 278.2 .A4 2012
Amir Ngah
Tesis Durham University 2012
Regression analysis
spellingShingle QA 278.2 .A4 2012
Amir Ngah
Tesis Durham University 2012
Regression analysis
Amir Ngah
Regression test selection by exclusion
description 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.
format Thesis
author Amir Ngah
author_facet Amir Ngah
author_sort 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
title_full_unstemmed 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
_version_ 1738395498819092480
score 13.211869

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