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
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;
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
DOI :
10.1109/ICCIS.2010.321
