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• W2041794518 abstract "Most of the existing software reliability models assume time between failures to follow an exponential distribution. Develops a reliability growth model based on non‐homogeneous Poisson process with intensity function given by the power law, to predict the reliability of a software. Several authors have suggested the use of the non‐homogeneous Poisson process to assess the reliability growth of software and to predict their failure behaviour. Inference procedures considered by these authors have been Bayesian in nature. Uses an unbiased estimate of the failure rate for prediction. Compares the performance of this model with Bayes empirical‐Bayes models and a time series model. The model developed is realistic, easy to use, and gives a better prediction of reliability of a software." @default.
• W2041794518 created "2016-06-24" @default.
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• W2041794518 date "1996-04-01" @default.
• W2041794518 modified "2023-09-23" @default.
• W2041794518 title "A software reliability growth model" @default.
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• W2041794518 doi "https://doi.org/10.1108/02656719610116108" @default.
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