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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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DOI：10.1109/TSE.2007.70721.png)
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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.
Keyword:
defect prediction
accuracy measures
static code attributes
empirical
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5.6
论文数:
2.8K
被引数:
1.1W
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