Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation

Kamal Z., Zamli and Mohd Hazli, Mohammed Zabil (2013) Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation. ICIC Express Letters , 7 (3). pp. 929-933. ISSN 1881-803X. (Published)

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Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for sequence-based t-way. We then proposed a new approach for generating sequence-based t-way, to overcome the unsupported features of the existing strategies as well as to complement the existing sequence-less t-way strategies. Using combinatorial method, our strategy adopted Bees Algorithm (BA) to generate the test data for sequence t-way. Benchmarking results show that our strategy is comparable, and produces better results in some scenarios. BA is the first bio-inspired AI strategy for sequence t-way.

Item Type: Article
Additional Information: Prof. Dr. Kamal Zuhairi Bin Zamli (Kamal Z. Zamli)
Uncontrolled Keywords: Interaction testing; T -way testing; Sequence-based interaction testing; Sequence covering array
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Prof. Dr. Kamal Zuhairi Zamli
Date Deposited: 27 Oct 2014 02:06
Last Modified: 16 Jan 2018 00:34
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