Feature modeling is a widely used technique in Software Product Line development. Feature models allow stakeholders to describe domain concepts in terms of commonalities and differences within a family of software systems.
Developing a complex monolithic feature model can require significant effort and restrict the reusability of a set of features already modeled.
We advocate using modeling techniques that support separating and composing concerns to better manage the complexity of developing large feature models.
In this paper, we propose a set of composition operators dedicated to feature models. These composition operators enable the development of large feature models by composing smaller feature models which address well-defined concerns. The operators are notably distinguished by their documented capabilities to preserve some significant properties.