A survey of software reliability models and an application of the Bayesian belief networks model

被引：0

作者：

Wan, QL ^{[1
]}

Samadzadeh, MH ^{[1
]}

机构：

[1] Microsoft Corp, Redmond, WA 98052 USA

来源：

SERP '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH AND PRACTICE, VOLS 1 AND 2 | 2005年

关键词：

software reliability models; Bayesian belief networks;

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：

Software reliability models have been developed to predict or estimate the reliability, of software during the software life cycle. There are more than 40 software reliability models in the open literature, but no single model is best for ever), case. In this work, six software reliability models: Musa's models, the Jelinski-Moranda model, the Geol-Okumoto NHPP model, Shooman's model, the Littlewood-Verral model, and the Bayesian Belief Networks (BBN) model were investigated and compared. Then the BBN model was applied to predict the reliability of PipeOnLine2.0, a software system developed to process large-scale DNA and protein data.

引用

页码：195 / 201

页数：7

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