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Evaluation of competing software reliability predictions
Sept. 1986 (vol. 12 no. 9)
pp. 950-967
Abdalla A. Abdel-Ghaly, Centre for Software Reliability, City University, Northampton Square, London ECIV OHB, England
P. Y. Chan, Centre for Software Reliability, City University, Northampton Square, London ECIV OHB, England
Bev Littlewood, Centre for Software Reliability, City University, Northampton Square, London ECIV OHB, England
Different software reliability models can produce very different answers when called upon to predict future reliability in a reliability growth context. Users need to know which, if any, of the competing predictions are trustworthy. Some techniques are presented which form the basis of a partial solution to this problem. Rather than attempting to decide which model is generally best, the approach adopted here allows a user to decide upon the most appropriate model for each application.
Index Terms:
Software reliability,Predictive models,Random variables,Maximum likelihood estimation,Bayesian methods,Analytical models,software reliability models,Prediction analysis,prediction biasedness and noise,prediction systems,predictive quality,prequential likelihood
Citation:
Abdalla A. Abdel-Ghaly, P. Y. Chan, Bev Littlewood, "Evaluation of competing software reliability predictions," IEEE Transactions on Software Engineering, vol. 12, no. 9, pp. 950-967, Sept. 1986, doi:10.1109/TSE.1986.6313050
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