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.

翻译：在复杂大规模系统之系统中，由于通常需要收集大量关键性能指标并组织成多种可视化形式，配置和演进仪表盘可能成为一项昂贵且繁琐的任务。遗憾的是，仪表盘的搭建目前仍主要依赖人工操作且易出错，需要大量人工干预。本短篇论文描述了新兴研究成果：定义了一种与技术无关的模型驱动方法，该方法能够自动将简单的关键性能指标列表转化为仪表盘模型，进而将模型翻译成面向目标仪表盘技术的实际仪表盘。通过仅修改抽象模型表示即可高效实现仪表盘定制，使操作人员免于与真实仪表盘进行昂贵交互。