A Software Reliability Growth Modeling Framework with Complexity of Path Searching

被引：0
|
作者：
Inoue, Shinji [1 ]
Yamada, Shigeru [2 ]
机构：
[1] Kansai Univ, Takatsuki, Osaka, Japan
[2] Tottori Univ, Tottori, Japan
来源：
JOURNAL OF UNIVERSAL COMPUTER SCIENCE | 2018年 / 24卷 / 12期
关键词：
Reliability assessment; software systems; test cases; path searching time; infinite server system; generalized modeling framework;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：1680 / 1689
页数：10
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