A Generalized Gamma Software Reliability Model

摘要

In this paper, the authors propose a generalized software reliability model based on a nonhomogeneous Poisson process (NHPP), on the assumption that software fault discovery times follow a generalized gamma distribution. The proposed model encompasses representative NHPP models developed before now and is also consistent with probabilistic debugging theory based on the concept of generalized order statistics. Furthermore, in this paper, the authors propose a parameter estimation method which combines the EM (Expectation-Maximization) algorithm and a heuristic solution method, as an effective parameter estimation method for the generalized gamma software reliability model.