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Classifying Software Changes: Clean or Buggy?
2008
IEEE Transactions on Software Engineering
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine whether a new software change is more similar to prior buggy changes or clean changes. In this manner, change classification predicts the existence of bugs in software changes. The classifier is trained using features (in the machine learning sense) extracted from the revision history of a software project stored in its
doi:10.1109/tse.2007.70773
fatcat:javeakvcvvemtnwwweluaxuucm