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binding model affects the transformation of the Problem
Space Model into the Kernel Model . According to created
bindings in the case of fine-grained variations and selected
features in the case of coarse-grained variations, particular
transformationrulesmustbeexecutedtocreatekernelmodels.
Figure 7.10. Summary of the configuration process
of the collection manager systems
7.5. Core assets development and product derivation
We introduced metamodels, feature models, and constraint
models as the core assets we use to express variability. In
FieSta, we use model transformation rules as the main core
assets to derive product line members. In the next subsections
we present:the transformation rules and software artifacts we
created for our second application example and the decision
model we built to derive products.
7.5.1. Rule transformations in the SPL of the collection
manager systems
As we introduced before (see Figure 7.3),the transformation
rules we created for our application example are used in three
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