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Test Cases Minimization Strategy Based On Flower Pollination Algorithm

Ho, Chai Har and Al-Sewari, Abdul Rahman Ahmed Mohammed (2016) Test Cases Minimization Strategy Based On Flower Pollination Algorithm. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 403-408.. ISBN 978-967-2054-04-7


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The phenomenon of exhaustive testing in software testing is hard to implement due to a huge number of test cases and time-consuming in order to find bugs. Hence, a test cases minimization strategy is an essential to obtain an optimize test cases and consequently, time will also be reducing. An adoption of optimization based t-way strategies and nonoptimization based t-way strategies have come across. This paper describes the adoption of Flower Pollination Algorithm (FPA) in order to minimize the test cases. The FPA inspired from the reproduction of flowers to find the best optimum results when compared to other methods. This strategy will be evaluated by several published benchmarking.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Exhaustive Testing, Software Testing, Timeconsuming, Optimize Test Cases, Test Case Minimization Strategy, Flower Pollination Algorithm
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 24 Mar 2017 02:30
Last Modified: 23 Apr 2018 07:58
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