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.
