A Kind of Software Reliability Assessment Method Based on PSO-SVR
Baowei Zhang · Journal of Xi'an University of Technology · 2012
In the process of software reliability modeling,if the support vector regression mechanism is simply used,it is likely that the difficulty in parameter selection and the uncertainty in experimental data themselves may lead to the realistic predicted results and low accuracy.For this reason,it is necessary to reference the multi-parameter optimization advantages of particle swarm algorithm to combine PSO and SVR optimization algorithm,to normalize the initial experimental data with hierarchical algorithms,and to reject the abnormal data and construct a software reliability assessment method based on PSO-SVR.Experimental results show that the prediction model based on PSO-SVR has a high precise and a suitable environment for software application.