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.
Highlights
It is very important to measure reliability of a software product with accuracy in the final stage of software development process for shipping a highly reliable software product
This paper discusses discrete software reliability measurement based on a discretized nonhomogeneous Poisson process (NHPP) model
There are discretized nonhomogeneous Poisson process models, which have good fitting and prediction performance in software reliability assessment [5,6] because the discretized NHPP models have consistency with fault counting data, which are obtained by collecting information on the frequency of the software failure-occurrence or the number of detected faults during each constant testing-period
Summary
It is very important to measure reliability of a software product with accuracy in the final stage of software development process for shipping a highly reliable software product. Software reliability assessment is performed based on the software reliability assessment measures derived from the discretized NHPP model. This approach is based on the point estimation, which is better to use when we have enough number of data. We discuss an interval estimation method for parameters and software reliability assessment measures of a discretized exponential software reliability growth model, which is one of the discretized NHPP models and has the simplest model-structure, by the bootstrapping method. We show numerical examples for our bootstrapping method for software reliability assessment based on the discretized exponential software reliability model and the bootstrap confidence intervals by using actual data
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