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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmcce-15.2015.226
ID  - Zhao2015/12
ER  -