On the log-power NHPP software reliability model

A simple software reliability model, the log-power nonhomogeneous Poisson process (NHPP) model, is studied. The log-power NHPP model has several interesting properties, such as simple graphical interpretations and simple forms of the maximum likelihood estimates for the parameters. The authors assess this model by considering its simplicity, data fitting and predicting ability. They have applied the log-power model to many sets of existing software reliability data. The results show that this model is able to fit different data sets and has a relatively high predicting ability. This, together with its simplicity and the graphical interpretation which provides a useful reliability engineering tool, shows that the log-power model is an applicable software reliability model in practice.<>