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

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

[img] Pdf
67. A new variable strength t-way strategy based on the cuckoo search algorithm.pdf
Restricted to Repository staff only
Download (731kB) | Request a copy
[img]
Preview
 Pdf
67.1 A new variable strength t-way strategy based on the cuckoo search algorithm.pdf
Download (457kB) | Preview

Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by WOS
Uncontrolled Keywords: Software Testing; Variable Strength Interaction; Metaheuristic; Cuckoo Search Algorithm
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 30 Oct 2019 01:27
Last Modified: 23 Jan 2020 02:26
URI: http://umpir.ump.edu.my/id/eprint/26233
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item