Poster: Filtering Code Smells Detection Results

@article{Fontana2015PosterFC,
  title={Poster: Filtering Code Smells Detection Results},
  author={Francesca Arcelli Fontana and Vincenzo Ferme and Marco Zanoni},
  journal={2015 IEEE/ACM 37th IEEE International Conference on Software Engineering},
  year={2015},
  volume={2},
  pages={803-804}
}
Many tools for code smell detection have been developed, providing often different results. This is due to the informal definition of code smells and to the subjective interpretation of them. Usually, aspects related to the domain, size, and design of the system are not taken into account when detecting and analyzing smells. These aspects can be used to filter out the noise and achieve more relevant results. In this paper, we propose different filters that we have identified for five code… CONTINUE READING
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The Qualitas Corpus: A Curated Collection of Java Code for Empirical Studies

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