Optimal software release policies with debugging time lag
Optimal software release policies with debugging time lag
复制标题
具有调试时滞的最优软件发布策略
DOI：
10.1142/s0218539397000175
复制
发表时间：
1997
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;N. Kaio;S. Osaki
本文提出了一种考虑调试滞后的计算机软件测试阶段最优发布时间的随机模型。在早期的工作中，考虑了大多数软件发布模型，但是假设检测到的错误可以立即删除。换句话说，没有人定量地讨论软件维护行动在最佳软件发布时间中的影响。本工作的主要目的是将最优软件发布策略与用户在软件运行阶段的到达服务过程联系起来。采用非齐次泊松过程（NHPP）类型的软件可靠性增长模型作为软件错误检测现象，得到了期望软件总成本最小的最优软件发布策略。因此，软件在运行阶段的使用环境给软件发布计划带来了单调的影响。
This paper presents a new stochastic model for determining the optimal release time for a computer software in testing phase, taking account of the debugging time lag. In the earlier works, most of software release models were considered, but it was assumed that an error detected can be removed instantaneously. In other words, none discussed quantitatively the effect of the software maintenance action in the optimal software release time. Main purpose of this work is to relate the optimal software release policy with the arrival-service process on the software operation phase by users. We use the Non-Homogeneous Poisson Process (NHPP) type of software reliability growth models as the software error detection phenomena and obtain the optimal software release policies minimizing the expected total software costs. As a result, the usage circumstance of a software in operation phase gives a monotone effect to the software release planning.