SSRGM: Software Strong Reliability Growth Model Based on Failure Loss

被引：2

作者：

Huang Yafang ^{[1
]}

Liu Yanzhao ^{[2
]}

Luo Ping ^{[1
]}

机构：

[1] Tsinghua Univ, Sch Software, Key Lab Informat Syst Secur, Beijing 100084, Peoples R China

[2] China Informat Technol, Secur Evaluat Ctr, Beijing, Peoples R China

来源：

2012 FIFTH INTERNATIONAL SYMPOSIUM ON PARALLEL ARCHITECTURES, ALGORITHMS AND PROGRAMMING (PAAP) | 2012年

基金：

中国国家自然科学基金;

关键词：

software reliability; J-M model; failure loss; Markov chain;

D O I：

10.1109/PAAP.2012.43

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Failures that exist in software cause tremendous damage and bring large amount of loss. Thus the research of software trustworthiness has been attracted much attention from all over the world. By considering the impact of failure loss, the traditional definition of software reliability is redefined in this paper and improved to software strong reliability. Based on this new definition and traditional J-M model, a new model called SSRGM is proposed along with its mathematical relationship and implementation based on Markov Chain. Besides, through experiment and analysis, the conclusion that this model is correct and effective is drawn.

引用

页码：255 / 261

页数：7

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