Software reliability model selection
Taghi M. Khoshgoftaar, Timothy G. Woodcock · Quality and Reliability Engineering International · 1992
Abstract No one software reliability growth model has ever been shown to work well in all circumstances. This paper presents our evaluation results for two case studies in which the Akaike information criterion (AIC) was used. The AIC not only selects the best model among several reliability models, but also possess favourable properties that practitioners like to see in their software reliability modelling practices. These properties include simplicity, accuracy and ease of application. We propose using the Akaike information criterion to select the best model for each software system.