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Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'"

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4 Author(s)
Menzies, T. ; Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV ; Dekhtyar, A. ; Distefano, J. ; Greenwald, J.

Zhang and Zhang argue that predictors are useless unless they have high precison&recall. We have a different view, for two reasons. First, for SE data sets with large neg/pos ratios, it is often required to lower precision to achieve higher recall. Second, there are many domains where low precision detectors are useful.

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Software Engineering, IEEE Transactions on  (Volume:33 ,  Issue: 9 )