False Positives and Other Misconceptions in Static Analysis

In ongoing discussions here at the blog and elsewhere, I keep seeing the topic of false positives in static analysis come up. It’s certainly a very important issue when dealing with static analysis, but the strange thing is that people have very different opinions of what a false positive is, and therefore different opinions of what static analysis can do and how to properly use it.

In the simplest sense, a false positives means that the message that a rule was violated is incorrect, or in other words...

By Arthur Hicken, 03 November 2011, 0 comments. Categories: Architecture, Big Data, Data & Analytics, Monitoring.