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...

全面介紹

Saved in:
書目詳細資料
Main Authors: Abdullah, Nasser, Kamal Z., Zamli
格式: Conference or Workshop Item
語言:English
English
出版: Springer 2019
主題:
在線閱讀: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
http://umpir.ump.edu.my/id/eprint/26233/
https://doi.org/10.1007/978-981-13-6031-2_17
https://doi.org/10.1007/978-981-13-6031-2_17
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結: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.