Skip to main content

FeatureIDE: Scalable Product Configuration of Variable Systems

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 9679)


In the last decades, variability management for similar products is one of the main challenges in software systems. In this context, feature models are used to describe the dependencies between reusable common and variable artifacts, called features. However, for large feature models it is a complex task to find a valid feature combination as product configuration. Our Eclipse plug-in FeatureIDE provides several mechanisms, such as information hiding and decision propagation, which support the configuration process to combine the reusable artifacts in various manners. We illustrate the applications of these mechanisms from a user’s point of view.


  • Feature Model
  • Information Hiding
  • Configuration Process
  • Product Configuration
  • Tedious Task

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Demo Video.

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-35122-3_27
  • Chapter length: 5 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
USD   59.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-35122-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   79.99
Price excludes VAT (USA)
Fig. 1.


  1. Antkiewicz, M., Czarnecki, K.: FeaturePlugin: feature modeling plug-in for eclipse. In: Eclipse, pp. 67–72. ACM (2004)

    Google Scholar 

  2. Benavides, D., Segura, S., Ruiz-Cortés, A.: Automated analysis of feature models 20 years later: a literature review. Inf. Syst. 35(6), 615–708 (2010)

    CrossRef  Google Scholar 

  3. Kang, K.C., Cohen, S.G., Hess, J.A., Novak, W.E., Peterson, A.S.: Feature-Oriented Domain Analysis (FODA) Feasibility Study. Technical report CMU/SEI-90-TR-21, Software Engineering Institute (1990)

    Google Scholar 

  4. Meinicke, J., Thüm, T., Schöter, R., Krieter, S., Benduhn, F., Saake, G., Leich, T.: FeatureIDE: Taming the preprocessor wilderness. In: ICSE. ACM (2016). (to appear)

    Google Scholar 

  5. Mendonça, M., Branco, M., Cowan, D.: S.P.L.O.T.: Software product lines online tools. In: OOPSLA, pp. 761–762. ACM (2009)

    Google Scholar 

  6. Nestor, D., Thiel, S., Botterweck, G., Cawley, C., Healy, P.: Applying visualisation techniques in software product lines. In: SoftVis, pp. 175–184. ACM (2008)

    Google Scholar 

  7. Pohl, K., Böckle, G., van der Linden, F.J.: Software Product Line Engineering: Foundations, Principles and Techniques. Springer, Heidelberg (2005)

    CrossRef  MATH  Google Scholar 

  8. Thüm, T., Kästner, C., Benduhn, F., Meinicke, J., Saake, G., Leich, T.: FeatureIDE: An extensible framework for feature-oriented software development. Sci. Comput. Program. 79, 70–85 (2014)

    CrossRef  Google Scholar 

  9. Trinidad, P., Cortés, A.R., Benavides, D., Segura, S.: Three-dimensional feature diagrams visualization. In: SPLC, pp. 295–302 (2008)

    Google Scholar 

Download references


This work was partially supported by the CNPq grant (202368/2014-9) and the BMBF grant (01IS14017A, 01IS14017B).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Juliana Alves Pereira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Pereira, J.A., Krieter, S., Meinicke, J., Schröter, R., Saake, G., Leich, T. (2016). FeatureIDE: Scalable Product Configuration of Variable Systems. In: Kapitsaki, G., Santana de Almeida, E. (eds) Software Reuse: Bridging with Social-Awareness. ICSR 2016. Lecture Notes in Computer Science(), vol 9679. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-35121-6

  • Online ISBN: 978-3-319-35122-3

  • eBook Packages: Computer ScienceComputer Science (R0)