Estimating software reliability using extreme value distribution

Abstract

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. © 2011 Springer-Verlag.