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DeepTelos and DMLA – A Contribution to the MULTI 2022 Collaborative Comparison Challenge
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Information Systems)ORCID iD: 0000-0002-9421-8566
Dep. of Aut. and Applied Informatics, Budapest Uni. of Tech. and Economics Budapest, Hungary.ORCID iD: 0000-0001-9464-7128
Dep. of Aut. and Applied Informatics, Budapest Uni. of Tech. and Economics Budapest, Hungary.ORCID iD: 0000-0002-4814-6979
2022 (English)In: MODELS ’22 Companion Proceedings, ACM Publications, 2022, p. 1-10Conference paper, Published paper (Refereed)
Abstract [en]

The MULTI 2022 Collaborative Comparison Challenge was created to promote in-depth discussion between multi-level modeling approaches. This paper presents a comparison of DeepTelos- and DMLA-based solutions in response to the challenge. We first present each approach and solution separately, and then list the similarities and differences between the two solutions, discussing their relativestrengths and weaknesses. 

Place, publisher, year, edition, pages
ACM Publications, 2022. p. 1-10
Keywords [en]
Model development and analysis, Modeling methodologies, Domain specific languages
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-21763DOI: 10.1145/3550356.3561602ISI: 001118263000068Scopus ID: 2-s2.0-85142923275ISBN: 978-1-4503-9467-3 (print)OAI: oai:DiVA.org:his-21763DiVA, id: diva2:1692785
Conference
MULTI 2022 Workshop co-located with ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, 23-28 October 2022, Montréal, Canada
Note

CC BY 4.0

The work of Sándor Bácsi and Gergely Mezei presented in this paper has been carried out in the frame of project no. 2019-1.1.1-PIACI-KFI-2019-00263, which has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the 2019-1.1. funding scheme.

Available from: 2022-09-04 Created: 2022-09-04 Last updated: 2025-09-29Bibliographically approved

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Jeusfeld, Manfred A.

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