SEJan 1, 2021

Declarative Dashboard Generation

arXiv:2101.00274v1
Originality Incremental advance
AI Analysis

This work aims to simplify dashboard configuration and adaptation for operators of highly dynamic software systems.

This paper addresses the challenge of cumbersome dashboard configuration in dynamic systems by proposing an automatic dashboard generation process. It leverages metamodel layouts to create complete dashboards based on operator-selected indicators.

Systems of systems are highly dynamic software systems that require flexible monitoring solutions to be observed and controlled. Indeed, operators have to frequently adapt the set of collected indicators according to changing circumstances, to visualize the behavior of the monitored systems and timely take actions, if needed. Unfortunately, dashboard systems are still quite cumbersome to configure and adapt to a changing set of indicators that must be visualized. This paper reports our initial effort towards the definition of an automatic dashboard generation process that exploits metamodel layouts to create a full dashboard from a set of indicators selected by operators.

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