Abstract

Model-based Systems Engineering [MBSE01], [MBSE02] supports interdisciplinary development teams in the cross-phase and cross-discipline development of complex technical systems. A descriptive SysML system model used in this process can be extended so that a design calculation of system parameters or the validation of the model by numerical simulations can be performed [NAFEMS18]. Both during the creation of the SysML model and during simulation and validation, various problems repeatedly arise in practice. These are of technical nature e.g., interfaces not fitting together as well as communication problems between the development engineers. For example, the mechanical engineers cannot understand the models of the software team. Understanding of domain-specific models, at least at a certain level of abstraction, is necessary for a common understanding of the system. This effect is called overcoming the "semantic gap" [SEM01], [SEM02]. [NAFEMS18], [PVM19], and [TdSE02] show that the cross-domain understanding problem can be addressed using the Artifact-Model [TdSE01]. In the Artifact-Model, the essential artifacts required for cross-phase and cross-domain system development and their interconnections are explicitly modeled and described. Another application of the Artifact-Model is the cross-domain impact analysis. This publication uses a SysML model of a "Mars Rover" [SMARTSE] and we assume that the stakeholder wants to explore a larger environment in a shorter time as a possible new use case. The original modeling, design/simulation, and validation was done for a maximum velocity of 0.5 m/s. The new maximum velocity of the rover is 1.0 m/s. The Artifact-Model supports the related impact analysis. Since the SysML model is based on the Artifact-Model, it contains all connections between the different artifacts of the system. Thus, the cross-domain impact of the change can be tracked, which allows a reliable decision whether the change should be implemented or not as well as which model components are affected. References: [TdSE01] Dr. Brandstätter, M., Roder, K., „Ein „Artefaktmodell“ zur Verbesserung der Prozessmodellierung“, TdSE 2017 [TdSE02] Haber, V., Hofmann, T., „The collaboration of business and technology: Seeing MBSE with fresh eyes“, EMEASEC/TdSE 2018 [MBSE01] INCOSE, „INCOSE SE Vision 2020“, INCOSE-TP-2004-004-02, Sep. 2007 [MBSE02] „SEBoK“, http://sebokwiki.org/wiki/Model-Based_Systems_Engineering_(MBSE)_(glossary) [NAFEMS18] Brandstätter, M., Bühler, C.: “Using the “Artifact Model“ to model CAE artifacts in the MBSE process”, NAFEMS, in proceeding: “Bessere Produkte mit Modellbasiertem Systems Engineering (MBSE) und CAE”, 2019 [PVM19] Dr. Markus Brandstätter, Veronica Haber, Tamara Hofmann, Kim Steinkirchner, Christian Bühler, „Ganzheitliche (System-)Modellierung mit Hilfe des Artefaktmodells“, Gesellschaft für Informatik e.V., in proceeding „Projektmanagement und Vorgehensmodelle 2019“, 2019 [SEM01] „Content-Based Image Retrieval at the End of the Early Years“, Arnold W. M. Smeulders, Marcel Worring, Simone Santini, Amarnath Gupta, Ramesh Jain, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. Bd. 22, Nr. 12, 2000, S. 1349–1380, doi:10.1109/34.895972 [SEM02] „Bridging the Semantic Gap with Computational Media Aesthetics“, Chitra Dorai, Svetha Venkatesh: In: IEEE MultiMedia. Bd. 10, Nr. 2, 2003, S. 15–17, doi:10.1109/MMUL.2003.1195157. [SMARTSE] „Smart Systems Engineering (SmartSE)“, https://www.prostep.org/projekte/smart-systems-engineering/ [SYSML01] „SysML Org“, http://www.omgsysml.org/, 2018 [SYSML02] OMG, „ABOUT THE OMG SYSTEM MODELING LANGUAGE SPECIFICATION VERSION 1.5“, https://www.omg.org/spec/SysML/About-SysML/, 2018