R. Mordinyi, D. Winkler, F. Ekaputra, M. Wimmer, S. Biffl: Investigating Model Slicing Capabilities on Integrated Plant Models with AutomationML, 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, Germany; 06.09.2016 - 09.09.2016, in Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), IEEE, (2016), ISBN: 978-1-5090-1314-2; pages 1 - 8. doi: 10.1109/ETFA.2016.7733556
Typical large-scale systems engineering projects depend on seamless cooperation and data exchange of experts from various engineering domains and organizations that work in a heterogeneous engineering environment. Available software tools support individual engineering disciplines quite well, but they only represent a discipline-specific view on the engineering plant. Consequently, a so-called integrated plant model captures and combines all different views into one representation in order to provide an overarching, discipline-independent view on the engineering plant. However, in order to support effective engineering processes, like change management, stakeholders need to be able to (a) define the scope of their changes they want to merge into the integrated plant model rather than the latest status of their view with various fragile adaptations, and (b) extract only engineering information from integrated plant model which is in the scope of the stakeholders’s discipline and interest. In this paper, we describe requirements identified in industrial use cases regarding filtering capabilities on (integrated) engineering plant models and model-driven engineering techniques for model-slicing applied on AutomationML models. The approach contributes to quality assurance and fault-prevention in engineering data since it helps to focus on parts of the engineering plant model relevant in certain engineering processes.