Estimating Markov modulated software reliability models via EM algorithm

被引：0
|
作者：
Ando, Takao [1 ]
Okamura, Hiroyuki [1 ]
Dohi, Tadashi [1 ]
机构：
[1] Hiroshima Univ, Grad Sch Engn, Dept Informat Engn, 1-4-1 Kagamiyama, Higashihiroshima 7398527, Japan
来源：
DASC 2006: 2ND IEEE INTERNATIONAL SYMPOSIUM ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, PROCEEDINGS | 2006年
关键词：
software reliability models; Markov modulated processes; EM algorithm; information criterion;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we develop a parameter estimation method to Markovian software reliability models. When software fault-detection rates change in the software testing phase, fault-detection processes can be generally modeled by Markov modulated processes. This paper deals with a unified parameter estimation. method for Markov modulated software reliability models as well as the typical pure birth process models. In numerical examples, we evaluate a goodness-of-fit for the Markov modulated software reliability models with realfault data, and show numerically that the Markov modulated software reliability models are superior to the existing pure birth process models in the viewpoint of information criterion.
引用
收藏
页码：111 / +
页数：3
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