Abstract
We propose a software reliability growth modeling framework with multiple change point occurrence environment. Especially in our modeling framework, the probability distribution of the initial fault content follows a zero-truncated Poisson distribution. Therefore, our modeling approach in this paper can derive the proper mean time between software failures (MTBF), which is one of the important reliability assessment measures and is not able to derive in the usual nonhomogeneous Poisson process modeling, which is one of the well-known software reliability modeling approach. This paper also show numerical examples of application of our proposed multiple change point model to software reliability assessment by using actual fault counting data.
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