Parameter Estimation and Comparison for SRGMs and ARIMA Model in Software Failure Data
Kwang Yoon Song, In Hong Chang, Dong Su Lee · Journal of the Chosun Natural Science · 2014
As the requirement on the quality of the system has increased, the reliability is very important part in terms of enhance stability and to provide high quality services to customers. Many statistical models have been developed in the past years for the estimation of software reliability. We consider the functions for NHPP software reliability model and time series model in software failure data. We estimate parameters for the proposed models from three data sets. The values of SSE and MSE is presented from three data sets. We compare the predicted number of faults with the actual three data sets using the NHPP software reliability model and time series model.