DocumentCode
2467645
Title
Software Test Data Generation Automatically Based on Improved Adaptive Particle Swarm Optimizer
Author
Zhu, Xiao-mei ; Yang, Xian-feng
Author_Institution
Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
1300
Lastpage
1303
Abstract
To advance efficiency of software test data generation automatically, based on traditional particle swarm optimizer (PSO) algorithm, we put forward an improved algorithm (APSO) in which inertia weight is adjusted according to the fitness value of particle. Experiment simulation result shows that APSO not only has better performance than immune genetic algorithm (IGA) but also better than PSO, and has broad application prospect in software test.
Keywords
particle swarm optimisation; program compilers; program testing; APSO; adaptive particle swarm optimizer; immune genetic algorithm; software test data generation; Algorithm design and analysis; Convergence; Optimization; Software; Software algorithms; Software testing; adaptive; particle swarm optimizer (PSO); software test;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8814-8
Electronic_ISBN
978-0-7695-4270-6
Type
conf
DOI
10.1109/ICCIS.2010.321
Filename
5709521
Link To Document