Contribution to reducing the critical faults in critical Software Systems

被引：0

作者：

Krini, Jamal ^{[1
]}

Boercsoek, Josef ^{[1
]}

机构：

[1] Univ Kassel, Dept Comp Architecture & Syst Programming, Kassel, Germany

来源：

2015 XXV INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND AUTOMATION TECHNOLOGIES (ICAT) | 2015年

关键词：

reliability growth models; hazard rate; gamma; (alpha; beta)distribution; Bayes' theorem; distribution function; probability distribution; program hazard rate; mean value function; optimization factor; Software reliability;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The software reliability plays an important role nowadays. From year to year the systems become more and more complex. Consequently, the software becomes more and more complex, too and this can cause more software errors. In this paper a new method is introduced, which serves to predict the reliability of software in a better way. Furthermore, the presumption that the hazard rate is constant is rebutted and a more realistic assumption is made. It is demonstrated that by the use of the new approach the prediction of the number of remaining errors is possible in a better way.

引用

页数：7

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