Software Test Data Generation Automatically Based on Improved Adaptive Particle Swarm Optimizer

摘要

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.