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Generating software from abstract models is a prime activity inmodel-drivenengineering. Adaptable and extendable code generators are importantto address changing technologies as well as user needs. However, theyare lessestablished, as variability is often designed as configuration options ofmonolithic systems. Thus, code generation is often tied to a fixed set offeatures, hardly reusable in different contexts, and without means forconfiguration of variants. In this paper,we present an approach for developingproduct lines of template-based code generators. This approach applies conceptsfrom feature-oriented programming to make variability explicit and manageable.Moreover, it relies on explicit variability regions (VR) in a code generatorstemplates, refinements of VRs, and the aggregation of templates and refinementsinto reusable layers. Aconcrete product is defined by selecting one or multiplelayers. If necessary, additional layers required due to VR refinements areautomatically selected.

Modeling Variability in Template-based Code Generators for Product Line Engineering