A heterogeneous single changepoint software reliability growth model framework
A heterogeneous single changepoint software reliability growth model framework
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DOI：
10.1002/stvr.1717
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发表时间：
2019-12-01
影响因子：
1.5
通讯作者：
Wandji, Thierry
中科院分区：
文献类型：
--
作者：
Nagaraju, Vidhyashree;Fiondella, Lance;Wandji, Thierry
许多非齐次泊松过程软件可靠性增长模型（SRGM）都具有单一连续曲线的特征。然而，故障是由测试策略和环境，集成测试和资源分配等因素驱动的，这些因素可能会在故障检测过程中引入一个或多个变点。一些研究者提出了非齐次泊松过程SRGM，但只考虑了变点前后的共同失效分布。本文提出了一个异构的单变点框架SRGM，它可以表现出不同的故障分布前后的变化点。两个简单和不同的曲线，包括指数和S形曲线的组合来说明的概念。十个数据集被用来比较这些异构模型对他们的同质同行。实验结果表明，异构变点模型实现更好的拟合优度的措施，60%和80%的数据集赤池信息标准和预测平方和措施。(C)2019约翰威利父子有限公司
Many non-homogeneous Poisson process software reliability growth models (SRGM) are characterized by a single continuous curve. However, failures are driven by factors such as the testing strategy and environment, integration testing and resource allocation, which can introduce one or more changepoint into the fault detection process. Some researchers have proposed non-homogeneous Poisson process SRGM, but only consider a common failure distribution before and after changepoints. This paper proposes a heterogeneous single changepoint framework for SRGM, which can exhibit different failure distributions before and after the changepoint. Combinations of two simple and distinct curves including an exponential and S-shaped curve are employed to illustrate the concept. Ten data sets are used to compare these heterogeneous models against their homogeneous counterparts. Experimental results indicate that heterogeneous changepoint models achieve better goodness-of-fit measures on 60% and 80% of the data sets with respect to the Akaike information criterion and predictive sum of squares measures. (C) 2019 John Wiley & Sons, Ltd.