Source code, interim data and results for study "Validity Criteria for Explaining Variation in Process Complexity", BPM 2026

Abstract

This repository contains the source code, interim data, and results for the study "Validity Criteria for Explaining Variation in Process Complexity". The material includes: Source code and final results for the simulation experiments (source_code.zip). Instructions for execution and .zip-archive structure are provided within the README.md part of source_code.zip. Raw simulated event logs (logs_01.tar - logs_05.tar). See README.md within source_code.zip for details. Mined complexity values for simulated logs (per_sample_metrics.csv). See README.md within source_code.zip for details. The source code (source_code.zip) includes two plugins from other authors: plugins/cdlg_tool Paper: Justus Grimm, Alexander Kraus, Han van der Aa: CDLG: A Tool for the Generation of Event Logs with Concept Drifts. BPM (PhD/Demos) 2022: 92-96 Link: https://gitlab.uni-mannheim.de/processanalytics/cdlg_tool plugins/vidgof_complexity Paper: Adriano Augusto, Jan Mendling, Maxim Vidgof, Bastian Wurm: The connection between process complexity of event sequences and models discovered by process mining. Inf. Sci. 598: 196-215 (2022) Link: https://github.com/MaxVidgof/process-complexity