What are the common issues in static code analysis?
An example of an AI chatbot conversation about common issues in static code analysis.
What are the common issues in static code analysis?
Common issues include false positives, false negatives, and difficulty in interpreting results.
Can you explain what false positives and false negatives mean?
False positives are incorrect alerts about issues that don't exist, while false negatives are missed issues that should have been flagged.
How can we reduce false positives in static code analysis?
You can reduce false positives by fine-tuning the analysis rules and using more context-aware tools.
Are there specific tools you recommend for static code analysis?
Yes, tools like SonarQube, ESLint, and Checkstyle are popular for static code analysis.
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