Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

A new automatic test data generation algorithm based on PSO-ACO

Authors
Xiaomin Zhao, Yiting Wang, Xiaoming Ding
Corresponding Author
Xiaomin Zhao
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.226How to use a DOI?
Keywords
PSO; ACO; Test data generation; Software testing
Abstract
In view of the shortcomings of the test data generation algorithm including particle swarm optimization algorithm and ant colony algorithm, a new algorithm is proposed, which is based on the combination of particle swarm algorithm and parameter adjustment. This algorithm can dynamically adjust its search capabilities based on the fitness value of particles , combine the advantages of particle swarm optimization (PSO) algorithm and ant colony algorithm ACO to ensure the convergence and accuracy of the algorithm. Experiments show that the new algorithm can effectively improve the efficiency of test data generation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xiaomin Zhao
AU  - Yiting Wang
AU  - Xiaoming Ding
PY  - 2015/12
DA  - 2015/12
TI  - A new automatic test data generation algorithm based on PSO-ACO
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.226
DO  - https://doi.org/10.2991/icmmcce-15.2015.226
ID  - Zhao2015/12
ER  -