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by stephen-magill 1819 days ago
We closely monitor the "fix rate" -- what percentage of issues reported by Lift are ultimately fixed by developers. If the fix rate for a particular tool or type of rule is too low, then we modify how we configure and run the tool to eliminate the false positives we're seeing. It's very much like what Google reports doing internally in their use of ErrorProne (where they require all rules to have a 90%+ fix rate).