Software reliability growth models incorporating fault dependency with various debugging time lags
Software reliability growth models incorporating fault dependency with various debugging time lags
复制标题
将故障依赖性与各种调试时滞结合起来的软件可靠性增长模型
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
C. Sue
中科院分区：
文献类型：
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作者：
Chin;Chu;S. Kuo;Michael R. Lyu;C. Sue
软件可靠性被定义为软件在特定环境中在特定时间段内无故障运行的概率。在过去的30年里，许多软件可靠性增长模型（SRGMs）已被提出，大多数SRGMs假设检测到的故障被立即纠正。事实上，这种假设在实践中可能并不现实。本文首先对软件可靠性建模中的故障检测和纠正过程进行了综述。此外，我们展示了如何现有的几个SRGMs的基础上NHPP模型可以通过应用时间相关的延迟函数。另一方面，通常观察到相互独立的软件故障在不同的程序路径上。有时，当且仅当主要故障被移除时，相互依赖的故障才能被移除。因此，在这里，我们将故障相关和时间相关的延迟函数的思想，软件可靠性增长建模。提出了一些新的SRGMs，并给出了一些数值例子来说明结果。实验结果表明，该框架结合了故障相关性和时间相关延迟函数，具有相当准确的预测能力
Software reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed and most SRGMs assume that detected faults are immediately corrected. Actually, this assumption may not be realistic in practice. In this paper we first give a review of fault detection and correction processes in software reliability modeling. Furthermore, we show how several existing SRGMs based on NHPP models can be derived by applying the time-dependent delay function. On the other hand, it is generally observed that mutually independent software faults are on different program paths. Sometimes mutually dependent faults can be removed if and only if the leading faults were removed. Therefore, here we incorporate the ideas of fault dependency and time-dependent delay function into software reliability growth modeling. Some new SRGMs are proposed and several numerical examples are included to illustrate the results. Experimental results show that the proposed framework to incorporate both fault dependency and time-dependent delay function for SRGMs has a fairly accurate prediction capability