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M. Kimura, “A study on Bootstrap Confidence Intervals of Software Reliability Measures Based on an Incomplete Gamma Function Model,” In: T. Dohi and W. Y. Yun, Eds., Advanced Reliability Modeling II, World Scientific, Singapore City, 2006, pp. 419-426.

has been cited by the following article:

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

  AUTHORS: Shinji Inoue, Shigeru Yamada

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

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.4A, April 23, 2013

  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.