Parallel Test Scheduling based on Particle Swarm Optimization

For the purpose of avoiding interference between each parallel testing tasks, this paper analyzes the testing process by dividing it into testing atoms, and makes the parameter set as the basic unit for each testing atom resource allocation so as to avoid interference. By means of modeling the parallel testing and with the object of minimizing the total testing time, it puts forward the parallel testing task scheduling algorithm on basis of improved particle swarm optimization. The experimental results verify that this method can be efficiently applied in parallel testing optimal scheduling.