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)
PDF
ICICIC2012-771-hazli-zamli.PDF - Published Version Restricted to Repository staff only Download (324kB) | Request a copy |
Abstract
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 |
URI: | http://umpir.ump.edu.my/id/eprint/6908 |
Download Statistic: | View Download Statistics |
Actions (login required)
View Item |