Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation

M  H  Mohamed Zabil; K  Z  Zamli  and K  C  Lim

doi:10.17485/ijst/2018/v11i4/121086

Article

Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation

VIEWS 800
PDF 253

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2018/v11i4/121086

Year: 2018, Volume: 11, Issue: 4, Pages: 1-9

Original Article

Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation

M. H. Mohamed Zabil^{1 *}, K. Z. Zamli² and K. C. Lim¹

¹ College of Computer Science and IT, Universiti Tenaga Nasional, Kajang, Malaysia; [email protected], [email protected]
² Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang, Pekan, Malaysia; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

T-way testing is a testing technique that is used to detect faults due to parameter interactions or software configurations. In order to perform t-way testing, software testers need to prepare the test data. For a system with many configuration parameters, the test data could lead to combinatorial explosion problem, since all possible parameter combinations need to be considered. Therefore, test data generation for t-way testing need to be optimized. Many t-way test data generation strategies have been proposed in the literature to generate optimized t-way test data. However, very few strategies have been proposed for sequence-based t-way. This paper presents statistical analysis on the performance of Bees Algorithm against the other sequence t-way strategies, in order to generate test cases.

Keywords: Bees Algorithm, Optimization, Sequence-based T-way Testing, Test Case Generation