SPLRevO : Optimizing Complex Feature Models in Search Based Reverse Engineering of Software Product Lines

@inproceedings{Thianniwet2015SPLRevOO,
  title={SPLRevO : Optimizing Complex Feature Models in Search Based Reverse Engineering of Software Product Lines},
  author={Thammasak Thianniwet and Myra B. Cohen},
  year={2015}
}
Recent work to reverse engineer feature models from a set of products leverages a genetic algorithm. This idea has been realized as a framework called ETHOM, however, it suffers from two limitations. First, the existing fitness functions either do not penalize models that contain products which are not in the original dataset, or create models which are missing too many valid products. This results in models that greatly over or under-approximate the feature space. Second, the ETHOM framework… CONTINUE READING
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