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

@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}
}
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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