Over more than two decades, numerous variability modeling techniques have been introduced in academia and industry. However, little is known about the actual use of these techniques. While dozens of experience reports on software product line engineering exist, only very few focus on variability modeling. This lack of empirical data threatens the validity of existing techniques, and hinders their improvement. As part of our eort to improve empirical understanding of variability modeling, we present the results of a survey questionnaire distributed to industrial practitioners. These results provide insights into application scenarios and perceived benets of variability modeling, the notations and tools used, the scale of industrial models, and experienced challenges and mitigation strategies.
Berger, T., R. Rublack, D. Nair, J. M. Atlee, M. Becker, K. Czarnecki, and A. Wąsowski, “A survey of variability modeling in industrial practice“, Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems, New York, NY, USA; ISBN Number 978-1-4503-1541-8