The Community for Technology Leaders
RSS Icon
Issue No.09 - Sept. (1986 vol.12)
pp: 950-967
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.
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
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
15 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool