Source code, intermediate data and results for study "Understanding Process Dynamics through Trace Variant Rank-Frequency Curves", BPM 2026 ProDy Workshop

Abstract

This repository contains the source code, intermediate data and results for the study "Understanding Process Dynamics through Trace Variant Rank-Frequency Curves", accepted for presentation at the BPM 2026 ProDy Workshop. The included ZIP archive (RFCs_in_PM_ source code, data, results.zip) contains: Source code for (1) calculating Rank-Frequency Curves (RFCs) for empirical logs and (2) simulation experiments Intermediate data of the elicited trace variants from publicly available logs (rfcs_in_pm-main\results\variants) Final results for empirical and simulation experiments (rfcs_in_pm-main\results\perm) Further details are provided in rfcs_in_pm-main/README.md. For citing this repository, please refer to the BPM 2026 workshop proceedings: Ebert, L., Revoredo, K., Mendling, J., Depaire, B.: Understanding process dynamics through trace variant rank-frequency curves and reliability in process complexity measurement. In: Workshop on Change, Drift, and Dynamics of Organizational Processes (ProDy) at BPM 2026. Accepted for publication (2026) Further references: The ZIP archive contains two process mining event logs from other authors (rfcs_in_pm-main\data\real): data/real/BPIC12 van Dongen, B.: BPI Challenge 2012, Media types: application/x-gzip, text/xml. Eindhoven University of Technology (2012). https://doi.org/10.4121/UUID:3926DB30-F712-4394-AEBC-75976070E91F data/real/RTFMP de Leoni, M., Mannhardt, F.: Road Traffic Fine Management Process, Version 1. 4TU.ResearchData. Dataset (2015). https://doi.org/10.4121/uuid:270fd440-1057-4fb9-89a9-b699b47990f5 References for further datasets are provided in rfcs_in_pm-main/README.md.