Explore one factor of affecting software reliability demonstration testing result

Zhenyu Ma, Wei Wu, Wei Zhang, Jianping Wang, Fusheng Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

When the traditional Bayesian method is used to verify software reliability, prior information cannot be distinguished from experimental information. In this paper, a hybrid Bayesian method is used to verify software reliability. At the same time, the correlation coefficient conception is introduced. This paper determines the correlation coefficient in the hybrid beta distribution respectively through the subjective quantitative method, the goodness of fit method, the Kullback information method, the Spearman correlation coefficient method, and the Kendall correlation coefficient method. The feasibility of five kinds of methods for calculating the correlation coefficients is proven by case analysis, and it is also demonstrated that the distinction between prior information and experimental information has an impact on the acceptable quality level of software reliability demonstration testing.

Original languageEnglish
Pages (from-to)1352-1359
Number of pages8
JournalInternational Journal of Performability Engineering
Volume15
Issue number5
DOIs
Publication statusPublished - May 2019

Keywords

  • Correlation coefficient
  • Demonstration testing
  • Hybrid Bayesian method
  • Software reliability

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