Towards Feature Location in Models through a Learning to Rank Approach

@inproceedings{Marcn2017TowardsFL,
  title={Towards Feature Location in Models through a Learning to Rank Approach},
  author={Ana Cristina Marc{\'e}n and Jaime Font and Oscar Pastor and Carlos Cetina},
  booktitle={SPLC '17},
  year={2017}
}
  • Ana Cristina Marcén, Jaime Font, +1 author Carlos Cetina
  • Published in SPLC '17 2017
  • Computer Science
  • In this work, we propose a feature location approach to discover software artifacts that implement the feature functionality in a model. Given a model and a feature description, model fragments extracted from the model and the feature description are encoded based on a domain ontology. Then, a Learning to Rank algorithm is used to train a classifier that is based on the model fragments and feature description encoded. Finally, the classifier assesses the similarity between a population of model… CONTINUE READING

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