Predoaia, Ionut orcid.org/0000-0002-2009-4054, Kolovos, Dimitris orcid.org/0000-0002-1724-6563 and Garcia-Dominguez, Antonio orcid.org/0000-0002-4744-9150 (2024) Hybrid Graphical-Textual DSL Editors: Vision, Requirements and Challenges. In: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2024. 2024 ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 22-27 Sep 2024 MODELS Companion '24 . ACM , AUT , pp. 1156-1160.
Abstract
Hybrid graphical-textual domain-specific languages can deliver the best of both worlds of graphical and textual modelling: an intuitive graphical syntax for some parts of the language and a concise textual syntax for others. This paper discusses the requirements of hybrid graphical-textual domain-specific languages and their supporting editors, highlighting challenges and potential enhancements. We present our vision for future developments, aiming to simplify the process of engineering such languages and additionally, to expand their capabilities.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Copyright held by the owner/author(s). This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Keywords: | Hybrid Notations,Graphical-Textual Modelling,Code Generation,Static Analysis,Grammar,Xtext,Sirius |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Funding Information: | Funder Grant number INNOVATE UK 113213/SUP-00007484 |
Depositing User: | Pure (York) |
Date Deposited: | 08 Nov 2024 14:20 |
Last Modified: | 12 Jan 2025 00:12 |
Published Version: | https://doi.org/10.1145/3652620.3688346 |
Status: | Published |
Publisher: | ACM |
Series Name: | MODELS Companion '24 |
Identification Number: | 10.1145/3652620.3688346 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219385 |
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