Software reliability model selection: a cast study

Predicting the remaining errors in a software system historically has been difficult to do with accuracy. The models used to predict future events have often worked well on one system or collection of data, and not at all well on another. Much of the recent work in the software reliability field has been on model selection and identifying which model would work well with which software system. The Akaike Information Criterion can be used to select the best model from among several models. A case study is given of an application of this technique to an ongoing software project. The Akaike Information Criterion was used to select the best model for a system and then that model was used to predict the number of remaining errors.<>