BIVARIATE EXTENSION OF SOFTWARE RELIABILITY MODELING WITH NUMBER OF TEST CASES
TOMOTAKA ISHII, Takaji Fujiwara, Tadashi Dohi · International Journal of Reliability Quality and Safety Engineering · 2008
In this paper we consider a software reliability model (SRM) depending on the number of test cases executed in software testing. The resulting SRM is based on a two-dimensional discrete non-homogeneous Poisson process (NHPP) and is considered as a bivariate extension of the usual NHPP-based SRM by taking account of two time scales; calendar time and number of test cases executed. We apply the Marshall and Olkin's bivariate geometric distribution and develop a two-dimensional discrete geometric SRM. In a numerical example with real software fault data observed in four real development projects, we investigate the goodness-of-fit for the proposed SRM and refer to an applicability to the actual software reliability assessment.