A Parameter Estimation of Software Reliability Growth Model with Change-Point

被引：0
|
作者：
Kim, Do Hoon [1 ]
Park, Chun Gun [2 ]
Nam, Kyung H. [1 ]
机构：
[1] Kyonggi Univ, Dept Appl Informat Stat, Suwon 443760, South Korea
[2] Kyonggi Univ, Dept Math, Suwon 443760, South Korea
来源：
KOREAN JOURNAL OF APPLIED STATISTICS | 2008年 / 21卷 / 05期
关键词：
Software reliability growth model; NHPP; fault-detection rate; mean value function; change-point problem;
D O I：
10.5351/KJAS.2008.21.5.813
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The non-homogeneous Poisson process(NHPP) based software reliability growth models are proved quite successful in practical software reliability engineering. The fault detection rate is usually assumed to be the continuous and monotonic function. However, the fault detection rate can be affected by many factors such as the testing strategy, running environment and resource allocation. This paper describes a parameter estimation of software reliability growth model with change-point problem. We obtain the maximum likelihood estimate(MLE) and least square estimate(LSE), and compare goodness-of-fit.
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页码：813 / 823
页数：11
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