Configurable Software Performance Completions through Higher-Order Model Transformations
Happe, Lucia
Nov 2014 · The Karlsruhe Series on Software Design and Quality Ibhuku elingu-8 · KIT Scientific Publishing
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Chillies is a novel approach for variable model transformations closing the gap between abstract architecture models, used for performance prediction, and required low-level details. We enable variability of transformations using chain of generators based on the Higher-Order Transformation (HOT). HOTs target different goals, such as template instantiation or transformation composition. In addition, we discuss state-dependent behavior in prediction models and quality of model transformations.
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