Simulating Event Logs from Object Lifecycle Processes

Ulm University

Presentation at ZEUS 2024; Marius Breitmayer, Ulm, Germany, 29.02.2024

Process Mining leverages event data to discover, analyze, and optimize business processes.
Consequently, the availability and quality of event logs is crucial for the applicability as well as the development of process mining algorithms.
However, obtaining such event logs from real-world scenarios is limited and costly.
In this paper, we present an approach for simulating event logs from object lifecycle processes.
Overall, the approach is capable of simulating event logs for object lifecycle processes that may be used to validate process mining algorithms.