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ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design
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DOI：10.1109/ACCESS.2024.3379268.png)
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Abstract
En 中文
Visual analytics systems should be able to consolidate data from disparate sources, conduct exploratory analysis, create visualizations that suit different users, and integrate seamlessly with decision-making activities to support data-driven decision-making. However, current mainstream visual analytics solutions often lack support for all these requirements. To address this gap, we propose the use of model-driven engineering to design visual analytics systems. To demonstrate the feasibility of this approach, we developed a Domain-Specific Modeling Language (DSML) named ModelViz to design visual analytics systems for consumer goods supply chain applications. Furthermore, we present the work of our DSML, using data from a manufacturing company as a case study. Finally, we evaluated ModelViz quantitatively by comparing it with other similar works from the literature. Our results demonstrate that this approach meets the requirements and provides a promising direction for designing visual analytics systems by considering domain-specific aspects to help achieve business goals.
Keywords:
Decision support systems
domain-specific languages
model-driven engineering
supply chain management
visual analytics
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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