An Efficient Automated Test Data Generation Method

Author

Cui Huanhuan ; Chen Li ; Zhu Bian ; Kuang Halei

Author_Institution

Huazhong Normal Univ., Wuhan, China

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

453

Lastpage

456

Abstract

How to shorten the time for test data generation is concerned about the main points of the current era. For this purpose, this paper brought forward an efficient automated test data generation method. In this paper first elaborated the basic particle swarm optimization algorithm and the improved particle swarm optimization algorithm, and as a search strategy, and then in this paper focused on the path of trajectory similarity calculation method. Experiments show that their combination of two methods can more efficiently generate test data.

Keywords

particle swarm optimisation; program testing; search problems; automated test data generation method; particle swarm optimization algorithm; search strategy; software testing; trajectory similarity calculation method path; Automatic testing; Costs; Current measurement; Genetic algorithms; Mechatronics; Particle swarm optimization; Programming; Software quality; Software testing; Time measurement; Test data; improved PSO; particle swarm optimization algorithm; path similarity calculation method; predicate function;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.556

Filename

5459797