Towards Model-Driven Dashboard Generation for Systems-of-Systems
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909118271324160 |
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| author | Rossi, Maria Teresa Tundo, Alessandro Mariani, Leonardo |
| author_facet | Rossi, Maria Teresa Tundo, Alessandro Mariani, Leonardo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_15257 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Model-Driven Dashboard Generation for Systems-of-Systems Rossi, Maria Teresa Tundo, Alessandro Mariani, Leonardo Software Engineering 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. |
| title | Towards Model-Driven Dashboard Generation for Systems-of-Systems |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2402.15257 |