Hoyos Rodriguez, Horacio, Zolotas, Athanasios, Kolovos, Dimitris orcid.org/0000-0002-1724-6563 et al. (1 more author) (2019) On the challenges of model decorations for capturing complex metadata. In: Burgueno, Loli, Burgueno, Loli, Pretschner, Alexander, Voss, Sebastian, Chaudron, Michel, Kienzle, Jorg, Volter, Markus, Gerard, Sebastien, Zahedi, Mansooreh, Bousse, Erwan, Rensink, Arend, Polack, Fiona, Engels, Gregor and Kappel, Gerti, (eds.) Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019. 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019, 15-20 Sep 2019 Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 . IEEE , DEU , pp. 347-353.
Abstract
Model decorations have proven useful as an extension mechanism to provide bespoke language extensions for particular scenarios in the language's domain. However, the current state of the art has only explored extension mechanisms that allow capturing basic metadata, e.g. additional attributes. In this paper we explore the challenges encountered when decorations must capture more complex metadata, in particular metadata that targets model management operations. Additionally, we provide an initial take on these challenges through automated language extension generation. The generated extensions provide enhanced model decoration capabilities that can support metadata of higher complexity.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | Auto-generation,Challenges,DSL,Model decorations |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 25 Apr 2024 09:00 |
Last Modified: | 08 Feb 2025 00:12 |
Published Version: | https://doi.org/10.1109/MODELS-C.2019.00054 |
Status: | Published |
Publisher: | IEEE |
Series Name: | Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019 |
Identification Number: | 10.1109/MODELS-C.2019.00054 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:211857 |
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