Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Test Case Generation Based on Hierarchical Genetic Algorithm

Authors
Shurong Liu, Jingfeng Xue, Changzhen Hu, Zhiqiang Li
Corresponding Author
Shurong Liu
Available Online March 2014.
DOI
https://doi.org/10.2991/mce-14.2014.61How to use a DOI?
Keywords
hierarchical genetic algorithm; test case; son population; local convergence; benchmark program
Abstract
The basic genetic algorithm was proposed to optimize the test case generation. It has been applied widely. Based on basic genetic algorithm, this paper proposed the hierarchical genetic algorithm to generate test cases. The hierarchical genetic algorithm divided the initial population into hierarchical son population and operated selection, crossover and mutation among son population independently. In the hierarchical genetic algorithm, the evolution of population was firstly operated between all layers, if the algorithm can't get the best test cases, it entered the next generation. Using this mechanism, the hierarchical genetic algorithm can avoid effectively ‘inbreeding’, ‘local convergence’, ‘slow convergence’ phenomenon. So it was the better way to generate test cases. This paper did the experiment using 3 benchmark program: triangle classification, bubble sort, the Max and Min. The experimental results show that the quality of test cases and the efficiency of generating test cases are improved markedly by hierarchical genetic algorithm compared with the basic genetic algorithm.
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Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.61How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shurong Liu
AU  - Jingfeng Xue
AU  - Changzhen Hu
AU  - Zhiqiang Li
PY  - 2014/03
DA  - 2014/03
TI  - Test Case Generation Based on Hierarchical Genetic Algorithm
BT  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 278
EP  - 281
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.61
DO  - https://doi.org/10.2991/mce-14.2014.61
ID  - Liu2014/03
ER  -