The construction of Business Process (BP) models entails big challenges, especially when BPs contain many variations. In addition, BPs can be seen from different perspectives, i.e., the behavioral (i.e., control-flow), the organizational (i.e., resources distribution), or the informational (data-flow) perspectives among others. Depending on the context where the BP is taken place, we may found variability in any of these perspectives. Different approaches to model variability in BP perspectives have already been proposed. However, these approaches are highly tight to the modeling language. In addition, they focus mainly on the behavioral perspective. To deal with variability in other BP perspectives in a more flexible manner, this work proposes an approach based on feature models. These models do not only allow enhancing expressiveness regarding BP variability, but also the maintenance and understanding of the resulting process model.