Towards Model-Driven Dashboard Generation for Systems-of-Systems
Configuring and evolving dashboards in complex and large-scale Systems-of-Systems (SoS) can be an expensive and cumbersome task due to the many Key Performance Indicators (KPIs) that are usually collected and have to be arranged in a number of visualizations. Unfortunately, setting up dashboards is...
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| Veröffentlicht in: | 2024 IEEE/ACM 12th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS) S. 9 - 12 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
ACM
14.04.2024
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| Schlagworte: | |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Configuring and evolving dashboards in complex and large-scale Systems-of-Systems (SoS) can be an expensive and cumbersome task due to the many Key Performance Indicators (KPIs) that are usually collected and have to be arranged in a number of visualizations. Unfortunately, setting up dashboards is still a largely manual and error-prone task requiring extensive human intervention.This short paper describes emerging results about the definition of a model-driven technology-agnostic approach that can automatically transform a simple list of KPIs into a dashboard model, and then translate the model into an actual dashboard for a target dashboard technology. Dashboard customization can be efficiently obtained by solely modifying the abstract model representation, freeing operators from expensive interactions with actual dashboards. |
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| DOI: | 10.1145/3643655.3643876 |