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Firefly combinatorial testing strategy

Abdul Rahman, Al-Sewari and Kamal Z., Zamli and Lin, Mee Xuan (2019) Firefly combinatorial testing strategy. In: Computing Conference 2018, 10-12 July 2018 , London, United Kingdom. pp. 936-944., 858. ISSN 21945357 ISBN 978-303001173-4

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Abstract

Firefly Algorithm (FA) had been applied to solve many of optimization problems. One of the optimization problems is combinatorial optimization. This paper propose FA to be applied in solving combinatorial testing problem by implementing a Firefly Algorithm based Test Suite Generator (FATG). Combinatorial testing is an effective method to generate a test list to detect the defects may introduce due the interaction between the systems interfaces. However, the interactions between the system interfaces is very complex and very huge. Therefore, it is impractical to test all the interfaces interactions due to the time constraints. Based on that, there is a need to produce an efficient test list with minimum test cases address the required degree of the combination. By doing so, it can help to save a time in test execution to detect the defects. This proposed strategy is evaluated by comparative evaluation with existing combinatorial testing strategies. Through the experiments, this research shows that FATG able to work effectively by generating a nearly optimum result using shortest time compared to other strategies.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Combinatorial testing; T-way testing; Firefly optimization algorithm; Computational Intelligence
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 29 Jun 2018 02:49
Last Modified: 08 Jan 2019 01:59
URI: http://umpir.ump.edu.my/id/eprint/17971
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