Discrete time NHPP based software reliability growth model
Zhongwen Li · Jisuanji yingyong yanjiu · 2011
Non-homogeneous Poisson process based software reliability growth models are generally classified into two groups by time: continuous time models and discrete time models.Existing software reliability growth models are mostly developed in the continuous time models while there are fewer in the discrete time models.It is necessary to research discrete time SRGM.This paper proposed two discrete time SRGMs using probability generating function based on a NHPP namely,basic model and extended model.In the proposed extended model,if considered imperfect debugging and new fault derived and changed with fault debugging,which was more realistic.The predictive power and goodness-of-fit of the proposed models were examined by two public failure data sets.Compared with other existing models: exponential model and S-shape model,the results demonstrate that the proposed model has better prediction and goodness-of-fit.