Abstract
Although there have been a lot of researches on software reliability growth models, the problem that limited considerations of imperfect debugging phenomenon in the existing models is still not solved. In this paper, we aim for such study and propose a new software reliability growth model that connects both faults detective process and faults corrective process in a software test. Faults introduction, time delay, and fault removal efficiency, considered as 3 assumptions to propose an improved NHPP software reliability growth model. Then we choose two different sets of real software data to examine the merit and the predictive power of the new model. The results show that compared with other models, the proposed model provides the best fit, which means it is useful to improve the model.
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