The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Multidimensional Modeling with UML Package Diagrams
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
A topology-shape-metrics approach for the automatic layout of UML class diagrams
Proceedings of the 2003 ACM symposium on Software visualization
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
IEEE Software
The challenge of information visualization evaluation
Proceedings of the working conference on Advanced visual interfaces
YAM2: a multidimensional conceptual model extending UML
Information Systems
Research in data warehouse modeling and design: dead or alive?
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
Empirical studies to assess the understandability of data warehouse schemas using structural metrics
Software Quality Control
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Data warehouses are large-scale databases that are usually managed by means of diagram-based conceptual models. However, the complexity of those models often imposes significant design challenges. In particular, this article studies their different underlying graph layouts. The working hypothesis is that graph layouts influence diagram readability, with the latter being significant for facilitating the design process. We define the main viewpoints involved in conceptual modeling. For each one, surveyed as well as alternative layouts were evaluated against a set of aesthetics and efficiency measures. As a result, more readable graph layouts than those found in the literature were identified.