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

Shinji Inoue (), Jun Ikeda and Shigeru Yamada ()
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Shinji Inoue: Tottori University
Jun Ikeda: Tottori University
Shigeru Yamada: Tottori University

Annals of Operations Research, 2016, vol. 244, issue 1, No 12, 209-220

Abstract: Abstract 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.

Keywords: Software reliability growth model; Software reliability assessment; Bivariate software reliability growth model; Two-dimensional nonhomogeneous Poisson process; Change-point; Testing-environment function (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s10479-015-1869-6

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