Software reliability growth model with normal distribution and its parameter estimation
Software reliability growth model with normal distribution and its parameter estimation
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正态分布的软件可靠性增长模型及其参数估计
DOI：
10.1109/icqr2mse.2011.5976642
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
S.Osaki
中科院分区：
文献类型：
--
作者：
H.Okamura;T.Dohi;S.Osaki
本文提出了软件可靠性增长模型（SRGM），其中软件故障时间遵循正态分布。所提出的模型在数学上易于处理并且具有足够的能力来拟合软件故障数据。特别是，我们考虑正态分布 SRGM 的参数估计算法。所开发的算法基于 EM（期望最大化）算法，并且作为软件应用程序实现起来非常简单。数值例子致力于通过在实际软件项目中收集的软件故障数据来研究基于正态分布的 SRGM 的拟合能力。
This paper proposes software reliability growth models (SRGM) where the software failure time follows a normal distribution. The proposed model is mathematically tractable and has sufficient ability of fitting to the software failure data. In particular, we consider the parameter estimation algorithm for the SRGM with normal distribution. The developed algorithm is based on an EM (expectation-maximization) algorithm and is quite simple for implementation as software application. Numerical examples are devoted to investigating the fitting ability of normal distribution based SRGMs through software failure data collected in real software projects.