Hybrid and dynamic static criteria models for test case prioritization of web application regression testing

In software testing domain, different techniques and approaches are used to support the process of regression testing in an effective way. The main approaches include test case minimization, test case selection, and test case prioritization. Test case prioritization techniques improve the performanc...

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Main Author:	Nejad, Mojtaba Raeisi
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Q Science (General)
Online Access:	http://eprints.utm.my/id/eprint/98248/1/MojtabaRaeisiNejadPSC2018.pdf
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spelling	my-utm-ep.982482022-11-23T08:19:10Z Hybrid and dynamic static criteria models for test case prioritization of web application regression testing 2018 Nejad, Mojtaba Raeisi Q Science (General) QA75 Electronic computers. Computer science In software testing domain, different techniques and approaches are used to support the process of regression testing in an effective way. The main approaches include test case minimization, test case selection, and test case prioritization. Test case prioritization techniques improve the performance of regression testing by arranging test cases in such a way that maximize fault detection could be achieved in a shorter time. However, the problems for web testing are the timing for executing test cases and the number of fault detected. The aim of this study is to increase the effectiveness of test case prioritization by proposing an approach that could detect faults earlier at a shorter execution time. This research proposed an approach comprising two models: Hybrid Static Criteria Model (HSCM) and Dynamic Weighting Static Criteria Model (DWSCM). Each model applied three criteria: most common HTTP requests in pages, length of HTTP request chains, and dependency of HTTP requests. These criteria are used to prioritize test cases for web application regression testing. The proposed HSCM utilized clustering technique to group test cases. A hybridized technique was proposed to prioritize test cases by relying on assigned test case priorities from the combination of aforementioned criteria. A dynamic weighting scheme of criteria for prioritizing test cases was used to increase fault detection rate. The findings revealed that, the models comprising enhanced of Average Percentage Fault Detection (APFD), yielded the highest APFD of 98% in DWSCM and 87% in HSCM, which have led to improve effectiveness prioritization models. The findings confirmed the ability of the proposed techniques in improving web application regression testing. 2018 Thesis http://eprints.utm.my/id/eprint/98248/ http://eprints.utm.my/id/eprint/98248/1/MojtabaRaeisiNejadPSC2018.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:141936 phd doctoral Universiti Teknologi Malaysia, Faculty of Engineering - School of Computing Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	Q Science (General) Q Science (General)
spellingShingle	Q Science (General) Q Science (General) Nejad, Mojtaba Raeisi Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
description	In software testing domain, different techniques and approaches are used to support the process of regression testing in an effective way. The main approaches include test case minimization, test case selection, and test case prioritization. Test case prioritization techniques improve the performance of regression testing by arranging test cases in such a way that maximize fault detection could be achieved in a shorter time. However, the problems for web testing are the timing for executing test cases and the number of fault detected. The aim of this study is to increase the effectiveness of test case prioritization by proposing an approach that could detect faults earlier at a shorter execution time. This research proposed an approach comprising two models: Hybrid Static Criteria Model (HSCM) and Dynamic Weighting Static Criteria Model (DWSCM). Each model applied three criteria: most common HTTP requests in pages, length of HTTP request chains, and dependency of HTTP requests. These criteria are used to prioritize test cases for web application regression testing. The proposed HSCM utilized clustering technique to group test cases. A hybridized technique was proposed to prioritize test cases by relying on assigned test case priorities from the combination of aforementioned criteria. A dynamic weighting scheme of criteria for prioritizing test cases was used to increase fault detection rate. The findings revealed that, the models comprising enhanced of Average Percentage Fault Detection (APFD), yielded the highest APFD of 98% in DWSCM and 87% in HSCM, which have led to improve effectiveness prioritization models. The findings confirmed the ability of the proposed techniques in improving web application regression testing.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Nejad, Mojtaba Raeisi
author_facet	Nejad, Mojtaba Raeisi
author_sort	Nejad, Mojtaba Raeisi
title	Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
title_short	Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
title_full	Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
title_fullStr	Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
title_full_unstemmed	Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
title_sort	hybrid and dynamic static criteria models for test case prioritization of web application regression testing
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Computing
granting_department	Faculty of Engineering - School of Computing
publishDate	2018
url	http://eprints.utm.my/id/eprint/98248/1/MojtabaRaeisiNejadPSC2018.pdf
_version_	1776100565733867520

Hybrid and dynamic static criteria models for test case prioritization of web application regression testing

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