OC-PM: analyzing object-centric event logs and process models

International Journal on Software Tools for Technology Transfer, vol. 25, pp. 1–17

Abstract

Abstract Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion. The development of object-centric process mining is related to exploiting object-centric event logs, which includes exploring and filtering the behavior contained in the logs and constructing process models which can encode the behavior of different classes of objects and their interactions (which can be discovered from object-centric event logs). This paper aims to provide a broad look at the exploration and processing of object-centric event logs to discover information related to the lifecycle of the different objects composing the event log. Also, comprehensive tool support (OC-PM) implementing the proposed techniques is described in the paper.

Authors 2

1. Alessandro Berti corresponding Aachen Process and Data Science Group

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science Group, RWTH Aachen University, Ahornstrasse 55, 52074, Aachen, NRW, Germany

2. Wil M. P. van der Aalst Aachen Process and Data Science Group

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science Group, RWTH Aachen University, Ahornstrasse 55, 52074, Aachen, NRW, Germany