Verlagslink DOI: 10.1145/3652620.3688214
Titel: Mediation-Based MLM in USE
Sprache: Englisch
Autorenschaft: Balaban, Mira 
Hamann, Lars  
Khais, Gil 
Saad, Amiel Amram 
Maraee, Azzam 
Sturm, Arnon 
Schlagwörter: MLM implementation; MLM semantics; Multi-level modeling
Erscheinungsdatum: 31-Okt-2024
Verlag: Association for Computing Machinery
Buchtitel: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
Teil der Schriftenreihe: ACM Conferences 
Anfangsseite: 818
Endseite: 827
Konferenz: International Conference on Model Driven Engineering Languages and Systems 2024 
Zusammenfassung: 
Multi Level Modeling (MLM) has been around in the modeling community for over twenty years. It has attracted much attention, both on theoretical and practical grounds. Multiple approaches have emerged, with different support for MLM concepts on the levels of syntax, semantics and pragmatics. MLM tools support a variety of applications, ranging from ontology specification to software modeling. This paper introduces the MedMLM-USE tool, which implements the Mediation-based MLM theory as an extension of the USE tool. The USE tool has been selected due to its open, well-structured architecture. The MedMLM-USE application extends: (1) the well-defined meta-model that is supported by USE, with MedMLM concepts; (2) the USE modeling services to support MLM-models. This paper describes the extended meta-model and services, provides examples, defines an inheritance semantics for instance-of, and discusses engineering difficulties.
URI: https://hdl.handle.net/20.500.12738/17007
ISBN: 979-8-4007-0622-6
Begutachtungsstatus: Diese Version hat ein Peer-Review-Verfahren durchlaufen (Peer Review)
Einrichtung: Department Informatik 
Fakultät Technik und Informatik 
Dokumenttyp: Konferenzveröffentlichung
Enthalten in den Sammlungen:Publications without full text

Zur Langanzeige

Seitenansichten

27
checked on 13.03.2025

Google ScholarTM

Prüfe

HAW Katalog

Prüfe

Volltext ergänzen

Feedback zu diesem Datensatz


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons