In this paper we consider a software reliability model (SRM) depending on thenumber 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 a real development project, we investigate the goodness-of-fit for the proposed SRM and refer to an applicability to the actual software reliability assessment.
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