Zahereel Ishwar Abdul Khalib
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Preferred name
Zahereel Ishwar Abdul Khalib
Official Name
Zahereel Ishwar, Abdul Khalib
Alternative Name
Khalib, Zahereel
Khalib, Z. I.Abdul
Khalib, Z. I.A.
Khalib, Zia • Khalib
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Scopus Author ID
24824279500
Researcher ID
CYK-9763-2022

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  • Publication
    Ant colony algorithm to generate t-way test suite with constraints
    ( 2020-06-17)
    Nuraminah Ramli
    ;
    Rozmie Razif Othman
    ;
    Zahereel Ishwar Abdul Khalib
    ;
    Zahereel Ishwar Abdul Khalib
    ;
    Fauzi S.S.M.
    T-way testing is one of the testing techniques offered to generate test suites. It focuses on interactions of input parameters based on strength. Besides that, t-way is used to overcome exhaustive testing problem. Another important aspect in t-way is constraints. It forbids certain interactions of input parameters. Therefore, the final test suite contains only valid interactions. T-way testing is NP-hard problem. No single strategy can always generates the best test suite size at all time for all configurations. Thus, Const-TTSGA strategy has been developed to generate test suites. The strategy supports constraints variable strength. Const-TTSGA is a metaheuristic strategy which applies ant colony algorithm to generate the best test cases. Two types of experiments have been conducted; constraints uniform and variable strength which consists of few other configurations. Results obtained are compared to benchmarked results. Const-TTSGA outperformed other strategy for costraints uniform strength experiments except for one configuration. However, the strategy outperformed other strategies for constraints variable strength experiments.
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