EvoFM: feature-driven planning of product-line evolution

Goetz Botterweck, Andreas Pleuss, Deepak Dhungana, Andreas Polzer, Stefan Kowalewski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Companies successfully applying product line approaches often follow a long-term strategy and need to plan product portfolios years ahead. For instance in the automotive industry, managers constantly make decisions about future product evolution, like "the LED tail lights will be introduced with the next facelift and the LED front lights two years later". With a raising number of features, feature changes, and evolution steps, a systematic approach for evolution planning becomes essential. However, there is only very little support for such evolution in model-based product line engineering so far. This paper presents an approach for extending model-driven product line engineering towards automated and tool-supported techniques for product line evolution. We provide a feature-based approach to model the variability over time and a catalogue of change operators for feature models.

Original languageEnglish
Title of host publication2010 ICSE Workshop on Product Line Approaches in Software Engineering, PLEASE 2010, in Conjunction with the 32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
Number of pages8
ISBN (Print)9781605589688
Publication statusPublished - 2 May 2010
Externally publishedYes

Publication series

NameProceedings - International Conference on Software Engineering
ISSN (Print)0270-5257


  • Automotive industry
  • Computer software
  • Engineering
  • Production engineering
  • Change operators
  • Feature modelling
  • Feature models
  • Feature-based
  • LED tail lights
  • Long-term strategy
  • Model-based
  • Model-driven
  • Product evolution
  • Product line engineering
  • Product portfolios
  • Product-lines
  • Biology
  • feature modelling
  • software evolution
  • model-driven product line engineering


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