Business process simulation (BPS) is crucial for analyzing and optimizing workflows in organizations.
Current evaluation methods for BPS models have limitations in accurately assessing the simulation quality.
A novel framework is proposed to evaluate BPS models based on the representative process behavior they generate.
The new framework focuses on comparing simulated data with real data for downstream analysis tasks to provide a more meaningful assessment of BPS quality.