Bivariate change-point modeling for software reliability assessment with uncertainty of testing-environment factor

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• 作者：Shinji Inoue ; Jun Ikeda ; Shigeru Yamada
• 关键词：Software reliability growth model ; Software reliability assessment ; Bivariate software reliability growth model ; Two ; dimensional nonhomogeneous Poisson process ; Change ; point ; Testing ; environment function
• 刊名：Annals of Operations Research
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：244
• 期：1
• 页码：209-220
• 全文大小：606 KB
• 刊物类别：Business and Economics
• 刊物主题：Economics
  Operation Research and Decision Theory
  Combinatorics
  Theory of Computation
  
• 出版者：Springer Netherlands
• ISSN：1572-9338
• 卷排序：244

文摘

We observe a phenomenon that the probabilistic characteristic of software failure-occurrence time-interval change notably in an actual testing-phase of a software development process. Testing-time observing such phenomenon is ordinarily called change-point. This phenomenon is treated as one of the factors affecting the accuracy of software reliability assessment based on a software reliability growth model. And regarding software reliability growth modeling, a bivariate software reliability growth model, which describes a software reliability growth process depending on the software reliability growth factor consists of testing-time and testing-effort factors, has been proposed for improving software reliability assessment accuracy based on the software reliability growth process. In this paper, we develop a bivariate software reliability growth model considering with the uncertainty of the change of software failure-occurrence phenomenon at the change-point for improving more the accuracy. Finally we show numerical examples of our model by using actual data.