Tools for the Analysis of the Accuracy of Software Reliability Predictions
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TL;DR
It is shown that this approach can point the way towards more accurate prediction via models which learn from past behaviour.
Abstract
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. In addition, it is shown that this approach can point the way towards more accurate prediction via models which learn from past behaviour.
