This document proposes a method for measuring the scalability of business process models. It defines scalability as a model's ability to handle growth in processes or potential enlargement. The method calculates similarity based on structural elements and behavioral links, and also considers complexity by counting elements and control flow. Sample business processes modeled as Petri nets are used to demonstrate calculating similarity scores and deriving a overall scalability value that reflects how well a model can scale up. The conclusion is that scalability is influenced by similarity, element counts, and complexity, and the method works best when models have some intersections but not completely different structures or behaviors.