Mining Version Histories for Detecting Code Smells

  title={Mining Version Histories for Detecting Code Smells},
  author={Fabio Palomba and Gabriele Bavota and Massimiliano Di Penta and Rocco Oliveto and Denys Poshyvanyk and Andrea De Lucia},
  journal={IEEE Transactions on Software Engineering},
Code smells are symptoms of poor design and implementation choices that may hinder code comprehension, and possibly increase changeand fault-proneness. While most of the detection techniques just rely on structural information, many code smells are intrinsically characterized by how code elements change overtime. In this paper, we propose Historical Information for Smell deTection (HIST), an approach exploiting change history information to detect instances of five different code smells, namely… CONTINUE READING
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HIST: Replication

  • F. Palomba, G. Bavota, M. Di Penta, R. Oliveto, D. Poshyvanyk, A. De Lucia
  • package http://dx.doi. org/10.6084/m9.figshare…
  • 2014
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