A software reliability growth model

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...

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Veröffentlicht in:The International journal of quality & reliability management 1996-04, Vol.13 (3), p.84-94
Hauptverfasser: Suresh, Nalina, Rao, A.N.V., Babu, A.J.G.
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container_issue 3
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container_title The International journal of quality & reliability management
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creator Suresh, Nalina
Rao, A.N.V.
Babu, A.J.G.
description 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.
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source Emerald A-Z Current Journals
subjects Approximation
Evaluation
Failure
Growth models
Integrals
Process controls
Product quality
Random variables
Reliability
Software
Software development
Software quality
Software reliability
Statistical analysis
Studies
title A software reliability growth model
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