考虑环境因素的软件可靠性增长模型

doi:10.3724/SP.J.1087.2011.01759

计算机应用 ›› 2011, Vol. 31 ›› Issue (07): 1759-1761.DOI: 10.3724/SP.J.1087.2011.01759

考虑环境因素的软件可靠性增长模型

韩炫,雷航

(电子科技大学计算机科学与工程学院,成都 611731)

收稿日期:2011-01-04 修回日期:2011-02-07 发布日期:2011-07-01 出版日期:2011-07-01
通讯作者: 韩炫
作者简介:韩炫(1985-),男,湖北鄂州人,硕士研究生,主要研究方向:软件可靠性测试;雷航(1960-),男,四川自贡人,教授，博士,主要研究方向:软件可靠性工程。
基金资助:
国家“核高基”资助项目

Study on Software Reliability Growth Model Considering Environmental Difference

Xuan HAN,Hang LEI

School of Computer Science and Engineering，University of Electronic Science and Technology of China，Chengdu Sichuan 611731,China

Received:2011-01-04 Revised:2011-02-07 Online:2011-07-01 Published:2011-07-01
Contact: Xuan HAN

摘要/Abstract

摘要： 软件可靠性增长模型中由于测试阶段和实际运行阶段环境的不同导致了失效强度函数的判断偏差。在Musa执行时间模型中的经典模型M-O对数泊松执行时间模型基础上，提出考虑环境因素的对数泊松模型,该模型能较好的刻画失效强度函数变化规律,并给出参数估计公式。通过对失效数据集的实验，结果表明该模型具有较好的拟合效果。

关键词: 软件可靠性增长模型, M-O对数泊松时间模型, 非齐次泊松过程模型, 失效强度, 环境因子

Abstract: The failure intensity function will be misjudged in software reliability growth model(SRGM), because of the difference between the testing environment and the user environment. A logarithmic poisson model considering environment factor is proposed, which is based on the M-O logarithmic poisson execution time model, the representative of Musa execution-time models. It can represents the change law of the failure intensity function better, and the parameter estimating equations have been provided. The experimental results based on failure data sets, show that the proposed model has better curve fit than some of other models.

Key words: software reliability model, M-O logarithmic poisson execution time model, Non-Homogeneous Poisson Process (NHPP) model, failure intensity, environmental factor

中图分类号:

TP311.5

韩炫雷航. 考虑环境因素的软件可靠性增长模型[J]. 计算机应用, 2011, 31(07): 1759-1761.

Xuan HAN Hang LEI. Study on Software Reliability Growth Model Considering Environmental Difference[J]. Journal of Computer Applications, 2011, 31(07): 1759-1761.

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考虑环境因素的软件可靠性增长模型

Study on Software Reliability Growth Model Considering Environmental Difference

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