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ABSTRACT
We present a method that combines textures, blending, and scattered-data interpolation to visualize several metrics defined on overlapping areas-of-interest on UML class diagrams. We aim to simplify the task of visually correlating the distribution and outlier values of a multivariate metric dataset with a system's structure. We illustrate our method on a class diagram of a real-world system. REFERENCES
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