What are false positives in static analysis?

What are false positives in static analysis?

False positives in static analysis refer to instances where the analysis tool flags a piece of code as problematic when it is actually fine.

Why do they occur?

They occur due to limitations in the analysis algorithms, which may misinterpret code patterns or lack context.

How can I reduce false positives?

You can reduce false positives by fine-tuning the analysis rules, using more advanced tools, or providing better context in your code.

Are there any tools that help with this?

Yes, many static analysis tools offer customization options to minimize false positives, such as SonarQube and ESLint.