A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY

Software testing is essential part of software development life cycle. Yet, exhaustive testing of highly configurable software is impractical owing to the limited time and resources. Furthermore, exhaustive testing leads to a combinatorial explosion problem whereby the test cases grow exponentially...

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Main Author: OBAYES, AMMAR KAREEM
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20715 /
Published: 2021
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
Online Access: http://utpedia.utp.edu.my/20715/1/Ammar%20Kareem%20Obayes%20Alazzawi_16000020.pdf
http://utpedia.utp.edu.my/20715/
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spelling utp-utpedia.207152021-09-08T12:07:51Z http://utpedia.utp.edu.my/20715/ A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY OBAYES, AMMAR KAREEM QA Mathematics QA75 Electronic computers. Computer science Software testing is essential part of software development life cycle. Yet, exhaustive testing of highly configurable software is impractical owing to the limited time and resources. Furthermore, exhaustive testing leads to a combinatorial explosion problem whereby the test cases grow exponentially with the increase of software inputs. Owing to its effectiveness for bug finding, many researchers are turning to the sampling strategies based on input interaction, called t-way testing, where t indicates the interaction strength. Known to be an NP-hard (i.e. Non-deterministic Polynomial-time) problem, the process of minimizing t-way test cases is challenging owing to the potentially large generated search space when dealing with large input values. To date, many t-way strategies have been proposed in the literature. 2021-01 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20715/1/Ammar%20Kareem%20Obayes%20Alazzawi_16000020.pdf OBAYES, AMMAR KAREEM (2021) A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
OBAYES, AMMAR KAREEM
A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY
description Software testing is essential part of software development life cycle. Yet, exhaustive testing of highly configurable software is impractical owing to the limited time and resources. Furthermore, exhaustive testing leads to a combinatorial explosion problem whereby the test cases grow exponentially with the increase of software inputs. Owing to its effectiveness for bug finding, many researchers are turning to the sampling strategies based on input interaction, called t-way testing, where t indicates the interaction strength. Known to be an NP-hard (i.e. Non-deterministic Polynomial-time) problem, the process of minimizing t-way test cases is challenging owing to the potentially large generated search space when dealing with large input values. To date, many t-way strategies have been proposed in the literature.
format Thesis
author OBAYES, AMMAR KAREEM
author_sort OBAYES, AMMAR KAREEM
title A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY
title_short A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY
title_full A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY
title_fullStr A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY
title_full_unstemmed A HYBRID ARTIFICIAL BEE COLONY WITH PARTICLE SWARM OPTIMIZATION FOR MIXED-STRENGTH TEST SUITE GENERATION STRATEGY
title_sort hybrid artificial bee colony with particle swarm optimization for mixed-strength test suite generation strategy
publishDate 2021
url http://utpedia.utp.edu.my/20715/1/Ammar%20Kareem%20Obayes%20Alazzawi_16000020.pdf
http://utpedia.utp.edu.my/20715/
_version_ 1741195657040887808
score 11.62408

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