Comparison of model size predictors in practice

Paper in proceeding, 2017

The amount of software in modern vehicles is constantly growing. However, the risk for functional and quality deficiencies increases simultaneously with size. This results in industry for example in inevitable and unexpected refactorings of software models, which is slowing down development processes in turn. In this industrial case study, we evaluate model growth predictors applied to foresee critical model size developments. We present five approaches and systematically compare them regarding prediction accuracy.