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A unified scheme of some nonhomogenous poisson process models for software reliability estimation

机译:一些非齐次泊松过程模型的软件可靠性估计统一方案

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摘要

[[abstract]]In this paper, we describe how several existing software reliability growth models based on Nonhomogeneous Poisson processes (NHPPs) can be comprehensively derived by applying the concept of weighted arithmetic, weighted geometric, or weighted harmonic mean. Furthermore, based on these three weighted means, we thus propose a more general NHPP model from the quasi arithmetic viewpoint. In addition to the above three means, we formulate a more general transformation that includes a parametric family of power transformations. Under this general framework, we verify the existing NHPP models and derive several new NHPP models. We show that these approaches cover a number of well-known models under different conditions.
机译:[[摘要]]在本文中,我们描述了如何通过应用加权算术,加权几何或加权谐波均值的概念来全面导出几种基于非均匀泊松过程(NHPPs)的现有软件可靠性增长模型。此外,基于这三种加权均值,我们从准算术角度提出了一个更通用的NHPP模型。除了上述三种方法外,我们还制定了更通用的变换,其中包括幂变换的参数族。在此通用框架下,我们验证了现有的NHPP模型并导出了几个新的NHPP模型。我们表明,这些方法涵盖了不同条件下的许多知名模型。

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