DocumentCode
3348606
Title
An Improved Algorithm for Test Data Generation Based on Particle Swarm Optimization
Author
Jianfeng, Wang ; Shouda, Jiang
Author_Institution
Inst. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China
fYear
2011
fDate
21-23 Oct. 2011
Firstpage
404
Lastpage
407
Abstract
The test case generation is one of key issues of combinatorial testing. In this paper, a new algorithm for test data generation based on Particle Swarm Optimization (PSO) is presented. Based on Particle Swarm Optimization, the optimization base and extended parameters are introduced. The number of the current output test data is adjusted dynamically according to the data generated before. The efficiency of the test data generation is improved effectively on the premise of ensuring the optimization of the data generated.
Keywords
particle swarm optimisation; program testing; combinatorial testing; optimization base; particle swarm optimization; test data generation; Algorithm design and analysis; Computers; Heuristic algorithms; Optimization; Particle swarm optimization; Software; Testing; Particle Swarm Optimization; extended parameters; test case generation combinatorial testing; the optimization base;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-4519-6
Type
conf
DOI
10.1109/IMCCC.2011.108
Filename
6154133
Link To Document