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VARY – Variability for You

  • Conference paper
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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7167)

Abstract

The VARY workshop took place on the first day of the MODELS conference week and brought together researchers and practitioners in the field of variability modeling. The workshop contained invited talks on empirics of MDD and reuse, and on the Common Variability Language standardization. The example session showed how variability modeling could be useful in e-commerce and multiple country business software. The generic result session showed a survey on variability modeling approaches and how to evolve variability definition when base model is changed. Finally the analysis session handled techniques for optimizing product validity checking and product line metrics. The ample time for discussions was easily filled and engaged many in the stable audience throughout the day.

Keywords

  • Product Line
  • Software Product Line
  • Poster Session
  • Object Management Group
  • Variability Modeling

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.

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References

  1. Abu-Matar, M., Gomaa, H.: Feature-Based Variability Meta-modeling for Service-Oriented Product Lines. In: Kienzle, J. (ed.) MODELS 2011 Workshops. LNCS, vol. 7167, pp. 68–82. Springer, Heidelberg (2012)

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  2. Svendsen, A., Zhang, X., Haugen, Ø., Møller-Pedersen, B.: Towards Evolution of Generic Variability Models. In: Kienzle, J. (ed.) MODELS 2011 Workshops. LNCS, vol. 7167, pp. 53–67. Springer, Heidelberg (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Haugen, Ø. (2012). VARY – Variability for You. In: Kienzle, J. (eds) Models in Software Engineering. MODELS 2011. Lecture Notes in Computer Science, vol 7167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29645-1_7

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  • DOI: https://doi.org/10.1007/978-3-642-29645-1_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29644-4

  • Online ISBN: 978-3-642-29645-1

  • eBook Packages: Computer ScienceComputer Science (R0)