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

Abstract

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.

DOI: 10.1109/TSE.2007.70721

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@article{Menzies2007ProblemsWP, title={Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'"}, author={Tim Menzies and Alex Dekhtyar and Justin S. Di Stefano and Jeremy Greenwald}, journal={IEEE Transactions on Software Engineering}, year={2007}, volume={33} }