Estimating Software Reliability Using Extreme Value Distribution

In this paper, we propose a novel modeling approach for the non-homogeneous Poisson process (NHPP) based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. Specifically, we apply the extreme value distribution to the software fault-detection time distribution. We study the effectiveness of extreme value distribution in software reliability modeling and compare the resulting NHPP-based SRMs with the existing ones.

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