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- KonferenzbeitragALADIN – Generator für Aufgaben und Lösung(shilf)en aus der Informatik und angrenzenden Disziplinen(Modellierung 2022 Satellite Events, 2022) Christ, Paul; Laue, Ralf; Munkelt, TorstenDas Erlernen von Fähigkeiten zur Modellbildung ist eine grundlegende Zielstellung in vielen Studiengängen. Insbesondere in der Informatik und angrenzenden Disziplinen lassen sich viele Modellierungsaufgaben mittels Graphen repräsentieren, was das computergestützte Generieren solcher Graphen und entsprechender Aufgaben und Lösung(shilf)en auf Grundlage bestehender Graphenalgorithmen nahelegt. Dieser Beitrag stellt das Framework ALADIN vor, welches graphenbasierte Modelle und Aufgaben für Probleme aus verschiedenen Fachbereichen generiert und Studenten bei der Lösung der Probleme unterstützt. Die Generierung erfolgt parametrisiert, um dem Anforderungsprofil der Bearbeiter zu entsprechen. ALADIN ermöglicht eine zeit- und ortsunabhängige Bearbeitung von Übungsaufgaben. Zudem prüft ALADIN die Lösungen direkt auf Korrektheit, ohne Lehrpersonal zu binden. Aufzeichnungs- und Wiedergabefunktionalität erhöht den Nutzen von ALADIN in Blended-Learning-Szenarien.
- KonferenzbeitragBeyond Low Code Platforms: The XModelerML --- an Integrated Multi-Level Modeling and Execution Environment(Modellierung 2022 Satellite Events, 2022) Frank, Ulrich; Mattei, Luca L.; Clark, Tony; Töpel, DanielThis paper presents the multi-level modeling tool XModelerML. It allows to create models that feature an arbitrary number of classification levels, thereby enabling the conjoint specification of modeling languages and their application within one diagram editor. The potential of multi-level modeling in general, of the XModelerML in particular is illustrated through three use cases.
- KonferenzbeitragBusiness Technologies - A Modeling Centered, Application Oriented Course(Modellierung 2022 Satellite Events, 2022) Mayr, Heinrich C.; Shekhovtsov, Volodymyr A.In this paper, we present the course "Business Technologies", which we offer at Alpen-Adria-Universität for students of the master’s programs in Informatics and Information Systems to introduce them to the exciting world of modeling. It is a combination of lecture and project work that has been offered regularly since 2013, with the content being adapted and updated every year. We intend this paper to stimulate discussion of modeling as an important component of Informatics teaching. Accordingly, not all our theses are scientifically substantiated; rather, some of them are intentionally formulated in a somewhat pointed way to provoke the discussion.
- KonferenzbeitragChallenges in Multi-View Model Consistency Management for Systems Engineering(Modellierung 2022 Satellite Events, 2022) Bergemann, SebastianA way to handle the complexity of cyber-physical systems is model-based systems engineering (MBSE) with multiple viewpoints. These viewpoints satisfy different concerns, but they likely have information dependencies and overlaps among each other. Inconsistencies can be introduced whenever there are changes in only some of the views without consistent synchronization in other dependent views. In this paper, we motivate why consistency management is important in multi-view MBSE and define requirements for it. By analyzing the State of the Art, we identify limitations in (multi-view) consistency management approaches, especially for inconsistency detection. Besides general performance issues, we notice primarily that most approaches are limited to or at least tested on only very specific views and tools with homogeneous models and few specific predefined consistency rules. Furthermore, in most approaches we cannot find solutions regarding subsequent updates of consistency rules by the user, allowance of tolerating inconsistency, and handling confidentiality. These literature gaps pose open research challenges for making multi-view consistency management more applicable in the industry.
- KonferenzbeitragDevelopment of a SysML Profile for Network Configurations in Safety-critical Systems(Modellierung 2022 Satellite Events, 2022) Hemmert, Andreas; Schweiger, AndreasThe contribution describes an approach for defining avionics network architectures in an existing system model. To this end, a SysML profile is developed containing stereotypes to specify such a network. The corresponding model captures the network’s configuration. Such a configuration defines a network of a safety-critical complex system. As a result, systems engineers can use the profile in the systems development process with digital continuity. An example demonstrates the application of the profile in the model development.
- KonferenzbeitragDigital Shadows for Cross-Organizational Data Exchange(Modellierung 2022 Satellite Events, 2022) Koren, IstvánProduction settings typically involve heterogeneous systems that create a challenging environment for collecting data in light of digital transformation. Once overcoming these difficulties, data-driven opportunities for manufacturing companies include increasing efficiency and productivity, reducing costs, and improving quality control. On the shop floor, digital shadows and digital twins are elements of these modernization strategies, e.g., to leverage machine learning methods for decision support. Recently, some approaches have transferred these concepts to the organizational level, like digital twins of organizations. In this paper, we envision how we can use data collections from the shop floor, captured as digital shadows, to share data across organizational boundaries to create new business models and ultimately enter new markets. We discuss the necessary enhancements of our conceptual model for digital shadows presented in previous work. We are convinced that digital shadows can help companies embrace innovative, data-driven business models to face challenges like sustainability.
- KonferenzbeitragDigitale Technologien für die modellgestützte Überwachung, Wartung und Modernisierung von Verdichter- und Turbinenanlagen(Modellierung 2022 Satellite Events, 2022) Thiel, Robert; Jäkel, Jens; Schleifer, Kevin; Schulze, RicoIn dieser Arbeit werden Methoden untersucht und entwickelt, die auf Basis des digitalen Zwillings die automatische Erkennung und Überwachung des Anlagenzustandes (Smart Monitoring) verfolgen, eine ereignisgesteuerte Instandhaltung (Smart Maintenance) mit Hilfe von Fehleranalysen und Vorhersagen ermöglichen und Kennzahlen im Anlagenbetrieb ermitteln und durch Anpassung der Anlagen- und Reglerstruktur teilautomatisiert optimieren (Smart Revamp).
- KonferenzbeitragEmbedding Textual Languages in MagicDraw(Modellierung 2022 Satellite Events, 2022) Drux, Florian; Jansen, Nico; Rumpe, Bernhard; Schmalzing, DavidStakeholders in model-based systems engineering projects often rely on heterogeneous modeling languages and tools. Efficient and seamless model-based engineering requires analyzing consistency, maintaining tracing information, and propagating changes of models of these languages even in different technological spaces. However, research on software language integration and inter-model consistency often only considers modeling languages and tools within the same technological space. We present a method for language composition across the technological spaces of the graphical modeling framework MagicDraw and the language workbench MontiCore. We realized language integration between these technological spaces by applying concepts of language aggregation to exchange essential model information and performing analysis on this information in an automated toolchain. The presented concepts can guide software language engineers and modeling tool developers on how to combine concepts of language composition to bridge technological spaces.
- KonferenzbeitragEnhancing Digital Shadows with Workflows(Modellierung 2022 Satellite Events, 2022) Heithoff, Malte; Michael, Judith; Rumpe, BerhardThe vast amount of data in modern manufacturing demands acquisition of contextualized data to enable fast decision making where domain expertise must be provided at run-time. Within this paper, we investigate the research question how to handle human-machine-interactions for engineering of digital shadows and still ensure the traceability of computation and simulation results. Current research for digital shadows concentrates on modeling key elements such as data sharing or metadata, but does not incorporate human-machine-interaction or the traceability of data aggregation. In this paper, we present a conceptual model which covers the base concepts for digital shadows integrating human-machine-interaction by utilizing workflows. We extend the conceptual digital shadow model defined within the “Internet of Production” excellence cluster and showcase our approach on an example. This contribution presents an applicable modeling approach for designing digital shadows which provide contextual information of the underlying human integrated process.
- KonferenzbeitragFeatures of AI Solutions and their Use in AI Context Modeling(Modellierung 2022 Satellite Events, 2022) Rittelmeyer, Jack Daniel; Sandkuhl, KurtDespite the implementation of many new artificial intelligence (AI)-based solutions in research and practice every year, companies still encounter problems while introducing AI solutions. One reason for that, from our own experience, are significant problems with understanding the concepts of AI. To cope with this problem, we aimed for developing a morphological box for AI solutions. The developed morphological box, its features and their values are based on four own industrial cases of AI solutions covering different application domains. We previously presented an enterprise architecture-based AI context model to help to better understand the context of an AI solution in a company and thereby minimize the risks of an implementation. We also analyzed that the morphological box supports the AI introduction process by improving and enhancing the three steps of the AI context model, which lead to more complete requirements for AI solutions.