Abstract
A software reliability growth model is one of the fundamental technique to assess software reliability quantitatively. The software reliability growth model is required to have a good performance in terms of goodness-of-fit, predictability, and so forth. In this paper, we propose discretized software reliability growth models. As to the software reliability growth modeling, discretized nonhomogeneous Poisson process models are investigated particularly for accurate software reliability assessment. We show that the discrete nonhomogeneous Poisson process models have better performance than discretized deterministic software reliability growth models which have been proposed so far.
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