False positives are our enemies, but may still be your friends
When writing a rule for static analysis, it’s possible that in some cases, the rule does not give the results that were expected. Unfortunately, naming a false positive is often far easier than fixing it. In this post, I’ll discuss how the different types of rules give rise to different types of false positives, which ones are easier to fix than others, and how you can help. I’ll end with insight into how issues that are false positives can still be true indicators that the code needs to change.