Event Log Abstraction in Client-Server Applications

Process mining provides various techniques in response to the increasing demand for understanding the execution of the underlying processes of software systems. The discovery and conformance checking techniques allow for the analysis of event data and verify compliances. However, in real-life scenarios, the event data recorded by software systems often contain numerous activities resulting in unstructured process models that are not usable by domain experts. Hence, event log abstraction is an essential preprocessing step to deliver a desired abstracted model that is human-readable and enables process analysis. This paper provides an overview of the literature and proposes a novel approach for transforming fine-granular event logs generated from client-server applications to a higher level of abstraction suitable for domain experts for further analysis. Moreover, we demonstrate the validity of the suggested method with the help of two case studies.