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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

Software modifications necessitate regression testing to address defects and verify functionality. Regression test case prioritisation (TCP) is used to revalidate modified software, ensuring its quality before release on the digital market. The TCP process involves optimising test cases by rearrangi...

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Main Author: Ba-Quttayyan, Bakr Salim Abdullah
Format: Thesis
Language:English
English
English
Published: 2024
Subjects:
QA76 Computer software
Online Access:https://etd.uum.edu.my/11476/4/permission%20to%20deposit-embargo%2024%20months-s901144.pdf
https://etd.uum.edu.my/11476/2/s901144_01.pdf
https://etd.uum.edu.my/11476/3/s901144_02.pdf
https://etd.uum.edu.my/11476/
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spelling my.uum.etd.114762025-01-05T06:50:46Z https://etd.uum.edu.my/11476/ A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm Ba-Quttayyan, Bakr Salim Abdullah QA76 Computer software Software modifications necessitate regression testing to address defects and verify functionality. Regression test case prioritisation (TCP) is used to revalidate modified software, ensuring its quality before release on the digital market. The TCP process involves optimising test cases by rearranging them effectively to achieve a performance goal, such as early fault detection. However, existing TCP frameworks lack reliability and suffer from efficiency and effectiveness issues, highlighting the necessity for a new multi-objective framework. The research’s primary objective is to construct a framework for prioritising test cases in regression testing using swarm intelligence that enhances test efficiency and effectiveness. This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. The framework was subsequently verified and validated through expert reviews and experimental testing. Ten knowledge and domain experts provided positive feedback on the framework's verification, affirming the framework's robustness. Validation was conducted through three experiments involving four Java programs. The results demonstrated high effectiveness, with scores ranging from 93.91% to 99.51% on the scaled weighted average percentage of faults detected (APFD) metric. For efficiency, the study found that the execution time metric was at 1.53757 seconds. The primary theoretical contribution is the TCP framework, which is applied in the software testing industry. TCP factors and a weighted fitness function are also used for test case optimisation. The contributions of this study straddle research perspectives of enhancing Regression Testing with Particle Swarm-Artificial Bee Colony Algorithm, and practical perspectives by providing software testing practitioners the TCP framework that can facilitate and accelerate the production of high-quality software products by revealing faults early and reducing time, cost, and human efforts through automation. 2024 Thesis NonPeerReviewed text en https://etd.uum.edu.my/11476/4/permission%20to%20deposit-embargo%2024%20months-s901144.pdf text en https://etd.uum.edu.my/11476/2/s901144_01.pdf text en https://etd.uum.edu.my/11476/3/s901144_02.pdf Ba-Quttayyan, Bakr Salim Abdullah (2024) A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ba-Quttayyan, Bakr Salim Abdullah
A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
description Software modifications necessitate regression testing to address defects and verify functionality. Regression test case prioritisation (TCP) is used to revalidate modified software, ensuring its quality before release on the digital market. The TCP process involves optimising test cases by rearranging them effectively to achieve a performance goal, such as early fault detection. However, existing TCP frameworks lack reliability and suffer from efficiency and effectiveness issues, highlighting the necessity for a new multi-objective framework. The research’s primary objective is to construct a framework for prioritising test cases in regression testing using swarm intelligence that enhances test efficiency and effectiveness. This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. The framework was subsequently verified and validated through expert reviews and experimental testing. Ten knowledge and domain experts provided positive feedback on the framework's verification, affirming the framework's robustness. Validation was conducted through three experiments involving four Java programs. The results demonstrated high effectiveness, with scores ranging from 93.91% to 99.51% on the scaled weighted average percentage of faults detected (APFD) metric. For efficiency, the study found that the execution time metric was at 1.53757 seconds. The primary theoretical contribution is the TCP framework, which is applied in the software testing industry. TCP factors and a weighted fitness function are also used for test case optimisation. The contributions of this study straddle research perspectives of enhancing Regression Testing with Particle Swarm-Artificial Bee Colony Algorithm, and practical perspectives by providing software testing practitioners the TCP framework that can facilitate and accelerate the production of high-quality software products by revealing faults early and reducing time, cost, and human efforts through automation.
format Thesis
author Ba-Quttayyan, Bakr Salim Abdullah
author_facet Ba-Quttayyan, Bakr Salim Abdullah
author_sort Ba-Quttayyan, Bakr Salim Abdullah
title A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
title_short A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
title_full A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
title_fullStr A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
title_full_unstemmed A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
title_sort framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
publishDate 2024
url https://etd.uum.edu.my/11476/4/permission%20to%20deposit-embargo%2024%20months-s901144.pdf
https://etd.uum.edu.my/11476/2/s901144_01.pdf
https://etd.uum.edu.my/11476/3/s901144_02.pdf
https://etd.uum.edu.my/11476/
_version_ 1821005242785857536
score 13.239859

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