Inconsistency management in heterogeneous models - an approach for the identification of model dependencies and potential inconsistencies
Editor: Wartzack, Sandro; Schleich, Benjamin; Gon
Author: Kattner, Niklas; Bauer, Harald; Basirati, Mohammad R.; Zou, Minjie; Brandl, Felix; Vogel-Heuser, Birgit
Institution: Technical University of Munich
Section: Systems Engineering
DOI number: https://doi.org/10.1017/dsi.2019.373
In today?s engineering projects, interdisciplinary work leads to an increase in interfaces between different departments and domains. As each stakeholder pursues different goals and tasks, a heterogeneous model landscape is required. In each domain, a variety of different model and software implementations provide the essential basis for efficient work. On the interfaces, the risk of model inconsistencies increases. To handle occurring inconsistencies, various approaches have been presented. For model-based systems engineering projects, rule-based methods are considered as the most suitable technique. However, said approaches require a high manual effort in identifying model dependencies and establishing consistency rules. Unfortunately, in particular these steps are not well described and supported. Therefore, this paper presents an easily applicable approach for the identification of model dependencies in interdisciplinary projects. The method is supported by a software implementation and is directly integrated in engineering workflows. A first industrial case study has shown positive effects of the approach and revealed further research goals.