A Procedure Model for Situational Reference Model Mining

Authors

  • Jana-Rebecca Rehse Institute for Information Systems (IWi) at the DFKI and Saarland University
  • Peter Fettke Institute for Information Systems (IWi) at the DFKI and Saarland University

DOI:

https://doi.org/10.18417/emisa.14.3

Keywords:

Reference Model Design Principles, Reference Model Construction, Inductive Reference Model Development, Reference Model Mining, Reference Model Design

Abstract

This contribution introduces the concept of Situational Reference Model Mining, i. e., the idea that automatically derived reference models, although derived from identical input data, are intended for different purposes and therefore have to meet different requirements. These requirements determine the reference model character and thus the technique that is best suited for mining it. Situational Reference Model Mining is based on well-known design principles for reference modeling, such as configuration, aggregation, specialization, instantiation, and analogy. We present a procedure model for Situational Reference Model Mining and demonstrate its usefulness by means of a case study. Existing techniques for Reference Model Mining are examined and mapped to their underlying design principles. Our approach provides reference model designers with first guidelines regarding their choice of mining technique and points out research gaps for the development of new approaches to reference model mining.

Author Biographies

Jana-Rebecca Rehse, Institute for Information Systems (IWi) at the DFKI and Saarland University

Jana-Rebecca Rehse works as a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). Before that, she was a research assistant at the same institute since 2011. Jana obtained a Bachelor’s Degree in Information Systems from Saarland University, Saarbrücken, Germany in 2012 and a consecutive Master’s Degree in 2015. In 2014, she spent six months as a visiting research scholar at Stevens Institute of Technology in Hoboken, NJ, where she conducted research for her Master’s thesis. Jana’s research interests include Business Process Management, in particular Reference Modeling, Process Mining and Design Science. She is interested in finding algorithmic solutions to practically relevant problems. The findings from her research have been published in outlets such as the International Journal on Software and Systems Modeling (SoSyM) and in various conference proceedings (e.g. WI, ECIS, and BPM Workshops).

Peter Fettke, Institute for Information Systems (IWi) at the DFKI and Saarland University

Peter Fettke works as a Professor for Business Informatics at Saarland University and is a Principal Researcher at the German Research   Center for Artificial Intelligence (DFKI), both Saarbrücken, Germany. He is conducting research in the field of Business Informatics/Information Systems, an important, relatively new discipline at the intersection of Computer Science and Business Administration. His research interests focus on business process management and technologies and include business information systems modeling, business engineering, applications, and philosophy of information systems. He uses a broad spectrum of research methods comprising engineering methods/design science and empirical/experimental research approaches. Peter obtained a master’s degree in Business Informatics from the University of Münster, Germany, a Ph.D. Degree in Business Informatics from the Johannes Gutenberg-University Mainz, Germany, and a Habilitation Degree in Business Informatics from Saarland University, Germany. In 2013 he became a DFKI Research Fellow. Peter has taught and researched previously at the Technical University of Chemnitz and the University Mainz, Germany.

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Published

2019-04-09

Issue

Vol. 14 (2019)

Section

Research Article

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