Constructing a T-Way Interaction Test Suite Using the Particle Swarm Optimization Approach
B. Ahmed, K. Zamli, and C. Lim. International Journal of Innovative Computing, Information and Control (IJICIC), 7 (11):
1-10(November 2011)
Abstract
This paper presents the design and implementation of a new t-way test generation strategy, known as the Particle Swarm Test Generator (PSTG).Complementing the existing work on t-way testing strategies, PSTG serves as our research vehicle to investigate the applicability of Particle Swarm Optimization for t-way test data generation. The experimental results demonstrate that PSTG is capable of outperforming some of the existing strategies as far as the test size is concerned. Additionally, the evaluation also indicates the effectiveness of PSTG in generating an efficient test suite for testing consideration.
%0 Journal Article
%1 Bestoun
%A Ahmed, Bestoun S.
%A Zamli, Kamal Z.
%A Lim, Chee Peng
%D 2011
%J International Journal of Innovative Computing, Information and Control (IJICIC)
%K Testing artificial intelligence interaction optimization. particle swarm t-way testing
%N 11
%P 1-10
%T Constructing a T-Way Interaction Test Suite Using the Particle Swarm Optimization Approach
%V 7
%X This paper presents the design and implementation of a new t-way test generation strategy, known as the Particle Swarm Test Generator (PSTG).Complementing the existing work on t-way testing strategies, PSTG serves as our research vehicle to investigate the applicability of Particle Swarm Optimization for t-way test data generation. The experimental results demonstrate that PSTG is capable of outperforming some of the existing strategies as far as the test size is concerned. Additionally, the evaluation also indicates the effectiveness of PSTG in generating an efficient test suite for testing consideration.
@article{Bestoun,
abstract = {This paper presents the design and implementation of a new t-way test generation strategy, known as the Particle Swarm Test Generator (PSTG).Complementing the existing work on t-way testing strategies, PSTG serves as our research vehicle to investigate the applicability of Particle Swarm Optimization for t-way test data generation. The experimental results demonstrate that PSTG is capable of outperforming some of the existing strategies as far as the test size is concerned. Additionally, the evaluation also indicates the effectiveness of PSTG in generating an efficient test suite for testing consideration.},
added-at = {2011-05-05T07:08:31.000+0200},
author = {Ahmed, Bestoun S. and Zamli, Kamal Z. and Lim, Chee Peng},
biburl = {https://www.bibsonomy.org/bibtex/2745baf5b3d564402205821a75cf66343/bestoun},
interhash = {3406cd576a49c2ecc9db9b2564cc3623},
intrahash = {745baf5b3d564402205821a75cf66343},
journal = {International Journal of Innovative Computing, Information and Control (IJICIC)},
keywords = {Testing artificial intelligence interaction optimization. particle swarm t-way testing},
month = {November},
number = 11,
pages = {1-10},
timestamp = {2011-05-05T07:08:32.000+0200},
title = {Constructing a T-Way Interaction Test Suite Using the Particle Swarm Optimization Approach},
volume = 7,
year = 2011
}