Auflistung nach Schlagwort "Metamodeling"
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- ConferencePaperBehavioral Interfaces for Executable DSLs(Software Engineering 2021, 2021) Leroy, Dorian; Bousse, Erwan; Wimmer, Manuel; Mayerhofer, Tanja; Combemale, Benoit; Schwinger, WielandThis work summarizes our paper [Le20] originally published in the Journal of Software and Systems Modeling in 2020 about a novel language engineering approach.
- ZeitschriftenartikelEnriching Linked Data with Semantics from Domain-Specific Diagrammatic Models(Business & Information Systems Engineering: Vol. 58, No. 5, 2016) Buchmann, Robert A.; Karagiannis, DimitrisOne key driver of the Linked Data paradigm is the ability to lift data graphs from legacy systems by employing various adapters and RDFizers (e.g., D2RQ for relational databases, XLWrap for spreadsheets). Such approaches aim towards removing boundaries of enterprise data silos by opening them to cross-organizational linking within a “Web of Data”. An insufficiently tapped source of machine-readable semantics is the underlying graph nature of diagrammatic conceptual models – a kind of information that is richer compared to what is typically lifted from table schemata, especially when a domain-specific modeling language is employed. The paper advocates an approach to Linked Data enrichment based on a diagrammatic model RDFizer originally developed in the context of the ComVantage FP7 research project. A minimal but illustrative example is provided from which arguments will be generalized, leading to a proposed vision of “conceptual model”-aware information systems.
- WorkshopbeitragLimitations of ChatGPT in Conceptual Modeling: Insights from Experiments in Metamodeling(Modellierung 2024 Satellite Events, 2024) Muff, Fabian; Fill, Hans-Georg
- KonferenzbeitragModeling Capabilities of Digital Twin Platforms - Old Wine in New Bottles?(Modellierung 2024, 2024) Pfeiffer, Jérôme; Lehner, Daniel; Wortmann, Andreas; Wimmer, ManuelThis extended abstract summarizes our paper on studying emerging modeling languages provided by digital twin platforms and contrasting them to established object-oriented modeling languages in the field of software engineering. This work has been originally published at the 18th European Conference on Modelling Foundations and Applications (proceedings are published in the Journal of Object Technology (JOT)) in 2022.
- ZeitschriftenartikelModellierung für Integrated Enterprise Balancing(Wirtschaftsinformatik: Vol. 49, No. 6, 2007) Fill, Hans-Georg; Gericke, Anke; Karagiannis, Dimitris; Winter, RobertKernpunkteIntegrated Enterprise Balancing (IEB) soll es Unternehmen ermöglichen, ihre Geschäftstätigkeit mit unternehmensweit konsistenten Ertrags-und Risikogrößen zu steuern.Zunächst wird der enge Zusammenhang zwischen der Metamodellierung und dem Methoden-Engineering aufgezeigt und damit gleichzeitig die Grundlage für die Entwicklung von Methoden und Modellen zur Umsetzung des IEB-Konzepts geschaffen.Unter Berücksichtigung der Anforderungen des IEB-Konzepts wird eine Prozessmodellierungssprache entwickelt, die die Integration von Ertrags-und Risikomanagement erlaubt.Eine erste Evaluation hat die Umsetzbarkeit der entwickelten Sprache in einem Modellierungswerkzeug gezeigt.AbstractThe development of models and methods is a vital element of design science in information systems research. In this paper a formal process modeling language is developed which incorporates IEB (Integrated Enterprise Balancing)/4R (Risk, Return, Regulation, Reporting) requirements formulated by Faisst and Buhl [FaBu05]. This is realized through the inclusion of 4R elements and 4R relations into the new 4R process modeling language. An evaluation of the process modeling language with regard to the assessment criterion “feasibility of implementation” was successfully executed using the meta modeling platform ADONIS. For that purpose the ADONIS modeling language for business processes (ADONIS BPMS) was extended with additional 4R modeling elements. Furthermore a new model type as well as required classes and relation classes have been developed which enable the connection of the 4R process modeling language to the research results of the above mentioned contribution.