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A software reliability growth model with two types of errors. (English) Zbl 0566.68029

This paper considers a software error detection process with two types of errors: Some are easy to be detected and the others are difficult to be. The software reliability growth model for such an error detection process is formulated by a nonhomogeneous Poisson process. The error detection rate per error (per unit time) characterizing the software reliability growth of the model depends on the testing time. The assessment measures for software reliability are discussed. The model parameters and the assessment measures are estimated by the method of maximum likelihood. The model is applied to actual software error data.

MSC:

68N99 Theory of software
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