Combination of Predictions Obtained from Different Software Reliability Growth Models

In the development of techniques for software reliability measurement and prediction, many software reliability growth models have been proposed. Application of these models to real data sources has shown that there is commonly great disagreement in predictions, while none of them has been shown to be more trustworthy than others in terms of predictive quality in all applications. Recent work has largely overcome this problem through the development of specialized techniques which analyse the accuracy of predictions from reliability models. Such techniques allow the user to choose, for future predictions for a particular data source, those models which gave the best predictions in the past, for this data.