Misconceptions about potency-based deep instantiation

Atkinson, Colin ; Kühne, Thomas ; Lange, Arne

DOI:	https://doi.org/10.1145/3652620.3688213
URL:	https://dl.acm.org/doi/10.1145/3652620.3688213
Dokumenttyp:	Konferenzveröffentlichung
Erscheinungsjahr:	2024
Buchtitel:	Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, MODELS Companion 2024, Linz, Austria, September 22-27, 2024
Seitenbereich:	810-817
Veranstaltungstitel:	MODELS '24, 27th International Conference on Model Driven Engineering Languages and Systems
Veranstaltungsort:	Linz, Austria
Veranstaltungsdatum:	22.-27.09.2024
Ort der Veröffentlichung:	Linz
Verlag:	ACM
ISBN:	979-8-4007-0622-6
Verwandte URLs:	https://dl.acm.org/doi/proceedings/10.11... https://conf.researchr.org/home/models-2...
Sprache der Veröffentlichung:	Englisch
Einrichtung:	Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Software Engineering (Atkinson 2003-)
Fachgebiet:	004 Informatik
Abstract:	Multi-level modeling languages differ in their approaches for controlling the properties of model elements over multiple modeling levels. Over the years the original approach for deeply characterizing model elements, the potency-based deep instantiation mechanism, has received a number of criticisms related to its flexibility, level stability, ontological soundness, type safety, and ability to reduce accidental complexity. However, some of these criticisms are founded on misconceptions and thus cannot usefully inform multi-level modeling language designs. In this paper we identify and clarify these misconceptions in order to help guide future considerations of language feature trade-offs and design choices.