Software reliability assessment models based on cumulative Bernoulli trial process
Software reliability assessment models based on cumulative Bernoulli trial process
复制标题
基于累积伯努利试验过程的软件可靠性评估模型
DOI：
10.1016/s0895-7177(03)90118-x
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
S. Osaki
中科院分区：
文献类型：
--
作者：
T. Dohi;Keiichi Yasui;S. Osaki
二项式软件可靠性增长模型（SRGM）包含了大多数现有的SRGMs在早期的工作作为特例，并可以描述每一个软件故障发生模式在连续的时间。在本文中，我们提出了广义二项式SRGMs在连续和离散时间，累积伯努利试验的思想的基础上。结果表明，所提出的模型给出了一些新的不寻常的离散模型以及著名的连续SRGMs。通过实际软件失效数据的数值算例，给出了分组数据下模型参数的两种估计方法，并对预测模型的性能进行了定量检验。
The binomial software reliability growth model (SRGM) contains most existing SRGMs proposed in earlier work as special cases, and can describe every software failure-occurrence pattern in continuous time. In this paper, we propose generalized binomial SRGMs in both continuous and discrete time, based on the idea of cumulative Bernoulli trials. It is shown that the proposed models give some new unusual discrete models as well as the well-known continuous SRGMs. Through numerical examples with actual software failure data, two estimation methods for model parameters with grouped data are provided, and the predictive model performance is examined quantitatively.