A survey of variability modeling in industrial practice

  • Authors:

  • Thorsten Berger;Ralf Rublack;Divya Nair;Joanne M. Atlee;Martin Becker;Krzysztof Czarnecki;Andrzej Wąsowski

  • Affiliations:

  • University of Leipzig;University of Leipzig;University of Waterloo, ON;University of Waterloo, ON;Fraunhofer IESE;University of Waterloo, ON;IT University of Copenhagen

  • Venue:
  • Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

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 effort 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 benefits of variability modeling, the notations and tools used, the scale of industrial models, and experienced challenges and mitigation strategies.