Abstract
Today, modelers must rely on their instinct and experience to decide how much detail of a system is worth being modeled. This ad-hoc modeling may result in models that are either too abstract or too detailed for their intended use. We propose to investigate objective measurement of a model’s abstractness and systematic guidance to attain the right level of abstraction. Such a contribution has the potential to improve the quality of models and reduce the amount of time needed for modeling activities.