Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation

The very large number of test cases and time consumption for a test, it is becoming hard to perform exhaustive testing for any software fault detection. For this reason, combinatorial testing (CT) also known as t-way testing, is one of the well-known methods that are used for fault detections to man...

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Main Authors: Alazzawi, A.K., Rais, H.M., Basri, S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23517 /
Published: Springer Verlag 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065868448&doi=10.1007%2f978-3-030-19807-7_19&partnerID=40&md5=d6f564165203649a56e7e2a9d6ed2511
http://eprints.utp.edu.my/23517/
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spelling utp-eprints.235172021-08-19T07:58:06Z Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation Alazzawi, A.K. Rais, H.M. Basri, S. The very large number of test cases and time consumption for a test, it is becoming hard to perform exhaustive testing for any software fault detection. For this reason, combinatorial testing (CT) also known as t-way testing, is one of the well-known methods that are used for fault detections to many software systems. Various existing research works are available in the literature to minimize the number of test cases, and the time to obtain an optimal test suite or competitive test suite. However, the interaction strength of the existing research works are supports up to t = 2 or t = 3, where t is the strength of parameter�s interaction. The major purpose of this research is to suggest a new t-way strategy to minimize the test cases. This is called hybrid artificial bee colony (HABC) strategy, which is based on hybridize of an artificial bee colony (ABC) algorithm with a particle swarm optimization (PSO) algorithm. This is to provide a high-interaction strength combinatorial test suite up to t = 6. From experimental results, HABC strategy performed best when compared with existing methods in terms of generating the optimum test case. © 2019, Springer Nature Switzerland AG. Springer Verlag 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065868448&doi=10.1007%2f978-3-030-19807-7_19&partnerID=40&md5=d6f564165203649a56e7e2a9d6ed2511 Alazzawi, A.K. and Rais, H.M. and Basri, S. (2019) Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation. Advances in Intelligent Systems and Computing, 984 . pp. 192-199. http://eprints.utp.edu.my/23517/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The very large number of test cases and time consumption for a test, it is becoming hard to perform exhaustive testing for any software fault detection. For this reason, combinatorial testing (CT) also known as t-way testing, is one of the well-known methods that are used for fault detections to many software systems. Various existing research works are available in the literature to minimize the number of test cases, and the time to obtain an optimal test suite or competitive test suite. However, the interaction strength of the existing research works are supports up to t = 2 or t = 3, where t is the strength of parameter�s interaction. The major purpose of this research is to suggest a new t-way strategy to minimize the test cases. This is called hybrid artificial bee colony (HABC) strategy, which is based on hybridize of an artificial bee colony (ABC) algorithm with a particle swarm optimization (PSO) algorithm. This is to provide a high-interaction strength combinatorial test suite up to t = 6. From experimental results, HABC strategy performed best when compared with existing methods in terms of generating the optimum test case. © 2019, Springer Nature Switzerland AG.
format Article
author Alazzawi, A.K.
Rais, H.M.
Basri, S.
spellingShingle Alazzawi, A.K.
Rais, H.M.
Basri, S.
Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
author_sort Alazzawi, A.K.
title Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
title_short Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
title_full Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
title_fullStr Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
title_full_unstemmed Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
title_sort hybrid artificial bee colony algorithm for t-way interaction test suite generation
publisher Springer Verlag
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065868448&doi=10.1007%2f978-3-030-19807-7_19&partnerID=40&md5=d6f564165203649a56e7e2a9d6ed2511
http://eprints.utp.edu.my/23517/
_version_ 1741196688058482688
score 11.62408

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