A state space model for software reliability

被引：9

作者：

Chang, YC ^{[1
]}

Leu, LY ^{[1
]}

机构：

[1] Natl Cent Univ, Grad Inst Stat, Chungli 32054, Taiwan

来源：

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS | 1998年 / 50卷 / 04期

关键词：

JM model; linear exponential loss function; Poisson distribution; exponential distribution;

D O I：

10.1023/A:1003721232207

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：

In this paper, we propose a non-Gaussion state space model to apply in software reliability. This model assumes an exponential distribution for the failure time in every test-debugging stage, conditionally on the state parameter-the number of faults in the program. It is a generalized JM model which can be applied to the imperfect debugging situation as well as in evolving programs. By examining a set of data on evolving program failures, the effect of evolving program model is amply proved.

引用

页码：789 / 799

页数：11

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[12]

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[14]

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