A new variable strength t-way strategy based on the cuckoo search algorithm

Considering systematic interaction of inputs, t-way testing is a sampling strategy that generates a subset of test cases from a pool of possible tests. Many t-way testing strategies appear in the literature to date ranging from general computational ones to metaheuristic-based. Owing to its performa...

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Main Authors: Abdullah, Nasser, Kamal Z., Zamli
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26233/
http://umpir.ump.edu.my/id/eprint/26233/
http://umpir.ump.edu.my/id/eprint/26233/
http://umpir.ump.edu.my/id/eprint/26233/1/67.%20A%20new%20variable%20strength%20t-way%20strategy%20based%20on%20the%20cuckoo%20search%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/26233/2/67.1%20A%20new%20variable%20strength%20t-way%20strategy%20based%20on%20the%20cuckoo%20search%20algorithm.pdf
id ump-26233
recordtype eprints
spelling ump-262332020-01-23T02:26:27Z http://umpir.ump.edu.my/id/eprint/26233/ A new variable strength t-way strategy based on the cuckoo search algorithm Abdullah, Nasser Kamal Z., Zamli QA76 Computer software Considering systematic interaction of inputs, t-way testing is a sampling strategy that generates a subset of test cases from a pool of possible tests. Many t-way testing strategies appear in the literature to date ranging from general computational ones to metaheuristic-based. Owing to its performance, the metaheuristicbased t-way strategies have gained significant attention recently (e.g., Particle swarmoptimization, genetic algorithm, ant colony algorithm, harmony search, and cuckoo search). Despite much progress, existing strategies have not sufficiently dealt with more than one interaction between input parameters (termed variable strength tway). Complementing existing works, this paper proposes a new variable strength cuckoo search algorithm, called VCS. Experimental results have shown promising results as VCS can compete with many existing works. Springer 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26233/1/67.%20A%20new%20variable%20strength%20t-way%20strategy%20based%20on%20the%20cuckoo%20search%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/26233/2/67.1%20A%20new%20variable%20strength%20t-way%20strategy%20based%20on%20the%20cuckoo%20search%20algorithm.pdf Abdullah, Nasser and Kamal Z., Zamli (2019) A new variable strength t-way strategy based on the cuckoo search algorithm. In: Intelligent and Interactive Computing: Proceedings of IIC 2018, 8-9 August 2018 , Universiti Teknikal Malaysia Melaka (UTeM). pp. 193-203., 67. ISBN 978-981-13-6030-5 https://doi.org/10.1007/978-981-13-6031-2_17 https://doi.org/10.1007/978-981-13-6031-2_17
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Abdullah, Nasser
Kamal Z., Zamli
A new variable strength t-way strategy based on the cuckoo search algorithm
description Considering systematic interaction of inputs, t-way testing is a sampling strategy that generates a subset of test cases from a pool of possible tests. Many t-way testing strategies appear in the literature to date ranging from general computational ones to metaheuristic-based. Owing to its performance, the metaheuristicbased t-way strategies have gained significant attention recently (e.g., Particle swarmoptimization, genetic algorithm, ant colony algorithm, harmony search, and cuckoo search). Despite much progress, existing strategies have not sufficiently dealt with more than one interaction between input parameters (termed variable strength tway). Complementing existing works, this paper proposes a new variable strength cuckoo search algorithm, called VCS. Experimental results have shown promising results as VCS can compete with many existing works.
format Conference or Workshop Item
author Abdullah, Nasser
Kamal Z., Zamli
author_facet Abdullah, Nasser
Kamal Z., Zamli
author_sort Abdullah, Nasser
title A new variable strength t-way strategy based on the cuckoo search algorithm
title_short A new variable strength t-way strategy based on the cuckoo search algorithm
title_full A new variable strength t-way strategy based on the cuckoo search algorithm
title_fullStr A new variable strength t-way strategy based on the cuckoo search algorithm
title_full_unstemmed A new variable strength t-way strategy based on the cuckoo search algorithm
title_sort new variable strength t-way strategy based on the cuckoo search algorithm
publisher Springer
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26233/
http://umpir.ump.edu.my/id/eprint/26233/
http://umpir.ump.edu.my/id/eprint/26233/
http://umpir.ump.edu.my/id/eprint/26233/1/67.%20A%20new%20variable%20strength%20t-way%20strategy%20based%20on%20the%20cuckoo%20search%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/26233/2/67.1%20A%20new%20variable%20strength%20t-way%20strategy%20based%20on%20the%20cuckoo%20search%20algorithm.pdf
first_indexed 2023-09-18T22:40:44Z
last_indexed 2023-09-18T22:40:44Z
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