Robustness of optimum software release policies
Robustness of optimum software release policies
复制标题
最佳软件发布策略的稳健性
DOI：
--
复制
发表时间：
1993
期刊：
影响因子：
--
通讯作者：
M. Xie
中科院分区：
文献类型：
--
作者：
Ming Zhao;M. Xie
在软件系统的开发中，确定何时可以停止软件测试以及何时可以发布系统是很重要的。在可靠性要求下，最佳发布时间通常是通过最小化预期总成本来确定的。通常，最佳释放时间取决于潜在可靠性增长模型中的未知参数，这些参数必须根据收集的测试数据进行估计。由于软件故障过程的随机性，模型参数估计的稳定性存在一些问题。这使得确定最优软件发布时间的传统方法不可靠。尽管关于软件发布时间确定的问题有大量的文献存在，但很少有论文涉及鲁棒性问题。本文研究了最优释放时间程序的鲁棒性。考虑了由于预估参数的变化而引起的最佳释放时间的变化。建议考虑最佳释放时间及其标准误差。具体来说，给出了Goel-Okumoto模型的最优释放时间的区间估计，并证明了区间估计可以达到鲁棒性。给出了一些实际测试数据和模拟数据的数值算例来说明这一思想。
In the development of software systems, it is important to determine when the software testing can be stopped and when the system can be released. An optimum release time is usually determined by minimizing the expected total cost under a reliability requirement. Usually the optimum release time depends on the unknown parameters in the underlying reliability growth models and these parameters have to be estimated based on collected testing data. Because of the random nature of the software failure process, there are some problems with the stability of the estimates of model parameters. This makes the conventional procedures for the determination of optimum software release time not robust. Although an extensive literature exists on the problem of software release time determination, few papers address the robustness issue. In this paper, the robustness of optimum release time procedures is studied. The variation of the optimum release time, due to the variation of the estimated parameters, is considered. It is recommended that the optimum release time with its standard error should be taken into consideration. Specifically, the interval estimation of the optimum release time is given for the Goel-Okumoto model and we demonstrate that the robustness can be achieved using interval estimation. Some numerical examples using both real testing data and simulated ones are presented to illustrate the idea.