Problems with Precision: A Response to "comments on 'data mining static code attributes to learn defect predictors'"
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.
static code attributes defect prediction accuracy measures empirical