Selviandro, Nungki, Kelly, Tim orcid.org/0000-0002-7385-2031 and Hawkins, Richard David orcid.org/0000-0001-7347-3413 (Accepted: 2018) The Visual Inheritance Structure to Support the Design of Visual Notations. In: Third International Workshop on Human Factors in Modeling (HuFaMo’18). (In Press)
Abstract
It is a common practice in modelling languages to provide their users with a set of visual notations as a representation of semantic constructs. The use of visual notation is believed to help communicate complex information, especially when communicating with non-technical users. Therefore, research in the design of visual notation continues to evolve, e.g. research to provide an effective and efficient design approach. There are approaches exist to support the designer in designing the visual notation such as the Cognitive Dimensions and the Physics of Notations. As the current metamodeling approach is widely adopted as a mechanism for improving standardisation and interoperability in modelling languages, it is important to provide a guideline that focus on the design of visual notation for a predefined metamodel. In this paper, we address the visual inheritance structure to support the design of visual notations for a predefined metamodel. This approach emphasises the design coherence between classes and sub-classes. To demonstrate that it is possible to apply our approach, we use part of the OMG Structured Assurance Case Metamodel as a case study.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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. |
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: | 09 Oct 2018 09:00 |
Last Modified: | 08 Feb 2025 00:11 |
Status: | In Press |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136841 |
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