Inductive Reference Model Development: Recent Results and Current Challenges

Jana-Rebecca Rehse, Philip Hake, Peter Fettke, Peter Loos

In: Heinrich C. Mayr , Martin Pinzger (Hrsg.). INFORMATIK 2016. Jahrestagung der Gesellschaft für Informatik (INFORMATIK-2016) September 26-30 Klagenfurt Austria Lecture Notes in Informatics (LNI) P-259 GI Bonn 2016.


Reference modeling offers attractive benefits for both research and practice. The inductive strategy for reference model development derives reference models by generalizing individual enterprise models. It has recently gained attention in research, however, its practical application still faces numerous challenges. The objective of the article at hand is to identify recent contributions to the field of inductive reference model development and use them to analyze the current challenges that impede the application of their results in practice. We identify a total of 18 contributions, either scientific articles describing inductive methods for reference model development, or practical reports describing the concrete development of a reference model for a certain domain. They are all analyzed by means of a six-stage-framework for reference model development. For each stage, we derive specific challenges and point out acknowledgments and potential solutions.

gi_refmod.pdf (pdf, 204 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence