Selection of Failure Data in Software Reliability Modeling Based on RVM

Xiaoming Yang; Jungang Lou; Zhangguo Shen; Wenjun Hu

doi:10.11959/j.issn.1000-0801.2015192

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Selection of Failure Data in Software Reliability Modeling Based on RVM

Research and development | 更新时间：2024-06-05

- Selection of Failure Data in Software Reliability Modeling Based on RVM
- Telecommunications Science Vol. 31, Issue 9, Pages: 90-96(2015)
- 作者机构：
  
  1. 湖州师范学院信息工程学院湖州313000
  2. 浙江大学控制科学与工程学系杭州310058
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2015192
  CLC：
- Published Online：2015-09，
  
  Published：20 September 2015
- 稿件说明：
移动端阅览
Xiaoming Yang, Jungang Lou, Zhangguo Shen, et al. Selection of Failure Data in Software Reliability Modeling Based on RVM[J]. Telecommunications science, 2015, 31(9): 90-96.
DOI：

Xiaoming Yang, Jungang Lou, Zhangguo Shen, et al. Selection of Failure Data in Software Reliability Modeling Based on RVM[J]. Telecommunications science, 2015, 31(9): 90-96. DOI： 10.11959/j.issn.1000-0801.2015192.

摘要

摘要：基于核函数的软件可靠性模型一般对软件失效时间数据与发生在其之前的m次失效时间数据的关系进行建模，着重研究了m取值不同时，其对核函数可靠性模型预测能力的影响。在5个不同类型失效数据集上，采用Mann-Kendall检验观测到m值增大时模型预测能力逐渐下降，说明现时失效时间数据能比较久之前观测的失效时间数据更好地用于预测未来，通过把m的取值划分成几个区间，运用配对T检验进行实验研究，结果表明当m∈｛6

10｝时，模型能够得到最好的预测性能。

Abstract

The high complexity of software is the major contributing factor of software reliability problems

and traditional parametric models may exhibit different predictive capabilities among different software projects

it is hard to select a suitable model for every software projects. Compared to traditional models

kernel based models could achieve better prediction accuracy

and had arouse the interesting of many researchers. The RVM learning scheme was applied to model the failure time data so as to capture the inner correlation between software failure time data and the m nearest failure time data. In addition

the trend of predictive accuracy with the varying of m was detected by way of Mann-Kendall test method. Thereupon

the reasonable value range of m was achieved

thus m∈｛6

10｝ through paired T-test in 5 common used software failure data.

关键词

Keywords

references

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