Wei, Ran, Zolotas, Athanasios, Hoyos Rodriguez, Horacio et al. (3 more authors) (2020) Automatic generation of UML profile graphical editors for Papyrus. Software and Systems Modeling. ISSN 1619-1366
Abstract
UML profiles offer an intuitive way for developers to build domain-specific modelling languages by reusing and extending UML concepts. Eclipse Papyrus is a powerful open-source UML modelling tool which supports UML profiling. However, with power comes complexity, implementing non-trivial UML profiles and their supporting editors in Papyrus typically requires the developers to handcraft and maintain a number of interconnected models through a loosely guided, labour-intensive and error-prone process. We demonstrate how metamodel annotations and model transformation techniques can help manage the complexity of Papyrus in the creation of UML profiles and their supporting editors. We present Jorvik, an open-source tool that implements the proposed approach. We illustrate its functionality with examples, and we evaluate our approach by comparing it against manual UML profile specification and editor implementation using a non-trivial enterprise modelling language (Archimate) as a case study. We also perform a user study in which developers are asked to produce identical editors using both Papyrus and Jorvik demonstrating the substantial productivity and maintainability benefits that Jorvik delivers.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2020 |
Keywords: | Model-driven engineering,Papyrus,UML profiling |
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: | 07 Sep 2020 11:10 |
Last Modified: | 21 Dec 2024 00:20 |
Published Version: | https://doi.org/10.1007/s10270-020-00813-6 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1007/s10270-020-00813-6 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165192 |
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