Sequential Bayesian technique: An alternative approach for software reliability estimation

被引：0
作者：
S. Chatterjee
S. S. Alam
R. B. Misra
机构：
[1] Indian School of Mines University,Department of Applied Mathematics
[2] Indian Institute of Technology,Department of Mathematics
[3] Indian Institute of Technology,Reliability Engineering Centre
来源：
Sadhana | 2009年 / 34卷
关键词：
Software reliability; Bayesian sequential estimation; Kalman filter;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes a sequential Bayesian approach similar to Kalman filter for estimating reliability growth or decay of software. The main advantage of proposed method is that it shows the variation of the parameter over a time, as new failure data become available. The usefulness of the method is demonstrated with some real life data.
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