Melanee and DMLA – A contribution to the MULTI 2021 collaborative comparison challenge

DOI:	https://doi.org/10.1109/models-c53483.2021.00086
URL:	https://ieeexplore.ieee.org/document/9643805
Document Type:	Conference or workshop publication
Year of publication:	2021
Book title:	2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) : proceedings
Page range:	556-565
Conference title:	MODELS-C 2021
Location of the conference venue:	Online
Date of the conference:	10.-15.10.2021
Place of publication:	Piscataway, NJ
Publishing house:	IEEE
ISBN:	978-1-6654-2484-4
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Softwaretechnik (Atkinson)
Subject:	004 Computer science, internet
Keywords (English):	multi-level modeling , meta-modeling , Melanee , DMLA , object oriented modeling , unified modeling language , collaboration , metamodeling , companies , production facilities , model driven engineering
Abstract:	This paper presents a comparison of Melanee- and DMLA-based solutions in response to the MULTI 2021 Collaborative Comparison Challenge which was conceived to promote cross-fertilization between multi-level modeling approaches. We first present each approach and solution separately, and then list the similarities and differences between the two solutions, discussing their relative strengths and weaknesses.

Dieser Eintrag ist Teil der Universitätsbibliographie.

BASE: Bácsi, Sándor ; Lange, Arne ; Kühne, Thomas ; Mezei, Gergely ; Atkinson, Colin

Google Scholar: Bácsi, Sándor ; Lange, Arne ; Kühne, Thomas ; Mezei, Gergely ; Atkinson, Colin

ORCID: Bácsi, Sándor ; Lange, Arne

; Kühne, Thomas ; Mezei, Gergely ; Atkinson, Colin

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