Title :
An Efficient Automated Test Data Generation Method
Author :
Cui Huanhuan ; Chen Li ; Zhu Bian ; Kuang Halei
Author_Institution :
Huazhong Normal Univ., Wuhan, China
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;
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
DOI :
10.1109/ICMTMA.2010.556