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A common barrier to successfully adopting and implementing static analysis practices is figuring out how to sort through static analysis noise to determine which violations are important to fix and which can be suppressed.
Development teams that struggle with noisy static analysis findings often waste development time triaging static analysis violations to determine what’s important to their program and what violations to prioritize for remediation versus what can be ignored.
When teams do not have a way to quickly sort through the noise, it impacts productivity and leaves developers frustrated. Did you know that you can cut through static analysis noise with AI?
Watch our webinar to learn how applying AI/ML to static analysis can: