An Empirical Investigation into the Capabilities of Anomaly Detection Approaches for Test Smell Detection

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  An Empirical Investigation into the Capabilities of Anomaly Detection Approaches for Test Smell Detection

  Pontillo, V., Martins, L., Machado, I., Palomba, F. & Ferrucci, F., Apr 2025, In: Journal of Systems and Software. 222, 21 p., 112320.

  Research output: Contribution to journal › Article › peer-review

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  • Anomaly Detection 100%
  • Machine Learning 60%
  • Learning System 60%
  • Statistical Approach 40%
  • Anomaly Detector 40%

  2 Citations (Scopus)

  1 Downloads (Pure)