Automatic Metric Thresholds Derivation for Code Smell Detection

  title={Automatic Metric Thresholds Derivation for Code Smell Detection},
  author={Francesca Arcelli Fontana and Vincenzo Ferme and Marco Zanoni and Aiko Yamashita},
  journal={2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software Metrics},
Code smells are archetypes of design shortcomings in the code that can potentially cause problems during maintenance. One known approach for detecting code smells is via detection rules: a combination of different object-oriented metrics with pre-defined threshold values. The usage of inadequate thresholds when using this approach could lead to either having too few observations (too many false negatives) or too many observations (too many false positives). Furthermore, without a clear… CONTINUE READING
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