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To derive a complete product according to a binding model,
we dynamically adapt the parameters of model transformation
executions, which we achieve by using model transformation
rules that are selected from the binding model and the pre-
created decision models.
Along with FieSta,we present model-based tool support,the
FieSta toolkit, which implements facilities to (1) capture fine-
grainedvariationsbetweenproductlinemembers,(2)configure
detailed products, and (3) derive fine-grained configured
products. We illustrate the FieSta approach through two
application examples: a product line of Smart-Homes and a
product line of Collection Managers.
1.5. Topic structure
Figure 1.3 presents the structure of this topic, which is
organized in four parts: an introduction, a presentation of the
state-of-the-art, our proposal (the FieSta framework), and the
conclusions.
Figure 1.3. Structure of the document
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