Feature modeling is a key concept in product line engineering. Due to the large number of different features and relations in practice, feature models often become too complex to deal with. One of these complexities is caused by the need to support multiple product lines. In this paper we introduce the concept of a context variability model, which contain the primary drivers for variation, e.g. different geographic regions. The context variability model constrains the feature model, which makes it possible to model multiple product lines supporting several dimensions in the context space. We will discuss how this concept can support software supply chains. Here it can be used to facilitate the process of merging feature models during staged configuration. Our initial experimental results indicate that the approach is intuitive and straightforward to use, and can be applied with commercially available variability management tools.
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