A Bootstrapping Approach for Software Reliability Measurement Based on a Discretized NHPP Model

Shinji Inoue, Shigeru Yamada

Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori, Japan..

DOI: 10.4236/jsea.2013.64A001                

Abstract

Discrete software reliability measurement has a proper characteristic for describing a software reliability growth process which depends on a unit of the software fault-detection period, such as the number of test runs, the number of executed test cases. This paper discusses discrete software reliability measurement based on a discretized nonhomogeneous Poisson process (NHPP) model. Especially, we use a bootstrapping method in our discrete software reliability measurement for discussing the statistical inference on parameters and software reliability assessment measures of our model. Finally we show numerical examples of interval estimations based on our bootstrapping method for the several software reliability assessment measures by using actual data.

Keywords

Software Reliability Measurement; Discretized NHPP Model; Nonparametric Bootstrapping Method; Regression Analysis; Bootstrap Confidence Intervals

Conflicts of Interest

The authors declare no conflicts of interest.

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