Abstract
Exploring and visualising a complex model in a single view can be challenging as it can require a considerable amount of computational resources and make the model difficult to comprehend due to information overload. Picto Web is a tool designed for complex model exploration. Using the Epsilon Generation Language for model-to-text transformation, it can transform domain-specific models into multiple transient web-based views in different formats, such as HTML, Graphviz, and PlantUML. Picto Web uses lazy and incremental model-to-text transformation to (re)generate views efficiently. Moreover, it supports push notifications to clients when views are updated and is packaged as a Docker container for ease of use.
| Original language | English |
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| Title of host publication | Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 |
| Subtitle of host publication | Companion Proceedings |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 56-60 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450394673 |
| DOIs | |
| Publication status | Published - 23 Oct 2022 |
| Event | 25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 - Montreal, Canada Duration: 23 Oct 2022 → 28 Oct 2022 |
Publication series
| Name | Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings |
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Conference
| Conference | 25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 |
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| Country/Territory | Canada |
| City | Montreal |
| Period | 23/10/22 → 28/10/22 |
Bibliographical note
Funding Information:The work in this paper has been funded through the HICLASS InnovateUK project (contract no. 113213).
Publisher Copyright:
© 2022 ACM.
Keywords
- complex models
- Model exploration
- Picto
- Visualisation
- Web