A Software Reliability Growth Modeling Framework with Complexity of Path Searching
A Software Reliability Growth Modeling Framework with Complexity of Path Searching
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DOI：
10.3217/jucs-024-12-1680
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
S. Inoue;S. Yamada
中科院分区：
文献类型：
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作者：
S. Inoue;S. Yamada
我们讨论了基于无限服务器排队理论的路径搜索的复杂性的软件系统的测量方法。我们的建模框架通过在无限服务器排队系统上表示软件故障检测的过程。此外，我们讨论参数的估计方法是我们的模型，并得出了一些用于软件系统可靠性评估的措施。此外，我们从框架中得出了几种软件可靠性增长模型。最后，通过使用实际的故障计数数据给出了基于我们的特定模型的数值插图，该模型是从我们的建模框架中获得的。
We discuss measurement method for software system with the complexity of path searching based on an infinite server queueing theory. Our modeling framework describes concretely the process of the software fault detection by representing on the infinite server queueing system. Additionally, we discuss estimation method of parameters is our model, and derive a few measures for reliability assessment of software systems. Further, we derive several software reliability growth models from our framework. Finally, numerical illustrations based on our specific model, which is obtained from our modeling framework, are given by using actual fault counting-data.