Software reliability model with irregular changes of fault detection rate

被引：0

作者：

Wang, Jin-Yong ^{[1
]}

Wu, Zhi-Bo ^{[1
]}

Shu, Yan-Jun ^{[1
]}

Zhang, Zhan ^{[1
]}

机构：

[1] School of Computer Science and Technology, Harbin Institute of Technology, Harbin

来源：

Ruan Jian Xue Bao/Journal of Software | 2015年 / 26卷 / 10期

关键词：

Fault detection rate; Irregular change; Non-homogeneous Poisson process (NHPP); Software reliability; Software reliability growth model (SRGM);

D O I：

10.13328/j.cnki.jos.004746

中图分类号：

学科分类号：

摘要：

The traditional NHPP (non-homogeneous Poisson process) models are proved to be a success in a practical test. However, the model performance always suffers in the realistic software testing environment due to the ideal assumption which derived the traditional NHPP models, such as constant fault detection rate and smooth or regular changes. In this paper, an NHPP-based software reliability growth model is proposed considering an irregular fluctuation of a fault detection rate, which is more in line with the actual software testing process. The fitting and predictive power of the proposed model is validated using the related experiments. The experimental results show the proposed model has a better fitting and predicting performance than the traditional NHPP-based models using the real-world fault data. Meanwhile, the confidence interval is given for the confidence analyses of the proposed model. © Copyright 2015, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

引用

页码：2465 / 2484

页数：19

共 41 条

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