NHPP software reliability growth model incorporating fault detection and debugging

Several software reliability growth models based on nonhomogeneous Poisson process (NHPP) have been presented in the literature in the last three decades. However, existing software reliability growth models have the problem that the considerations of imperfect debugging phenomenon are incompletely. Based on the two important aspects that new faults introduced by fault debugging and incompletely fault debugging, in this paper, we proposed a software reliability growth model in which the total number of fault and fault removal efficient will change over time. Examined by a group of public failure data set, the proposed model is considered to be a model with goodness-of-fit and the predictive power.