Multi-level modeling with LML : A contribution to the Multi-level Process Challenge


Lange, Arne ; Atkinson, Colin


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DOI: https://doi.org/10.18417/emisa.17.6
URL: https://emisa-journal.org/emisa/article/view/280
URN: urn:nbn:de:bsz:180-madoc-623696
Document Type: Article
Year of publication: 2022
The title of a journal, publication series: Enterprise Modelling and Information Systems Architectures
Volume: 17
Issue number: 6
Page range: 1-36
Place of publication: Bonn
Publishing house: Gesellschaft für Informatik (GI)
ISSN: 1860-6059 , 1866-3621
Publication language: English
Institution: School of Business Informatics and Mathematics > Softwaretechnik (Atkinson)
Pre-existing license: Creative Commons Attribution, Share Alike 4.0 International (CC BY-SA 4.0)
Subject: 004 Computer science, internet
Abstract: This paper presents a solution to the MULTI Process Challenge which was first posed to the participants of the MULTI workshop at the MODELS conference in 2019 and subsequently adapted for this special issue of the EMISA Journal. The structure of the paper therefore follows the guidelines laid out in the Challenge description. The models are represented in the Level-agnostic Modeling Language LML and the DOCL constraint language using the Melanee deep modeling tool. After first outlining the case study and documenting which aspects are supported in the LML solution, the paper presents multi-level models for both the insurance and the software engineering domains. This is followed by a discussion of the strengths and weaknesses of the approach. The presented model covers all mandatory and optional aspects of the Challenge case study.
Additional information: Online-Ressource

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