“Visual Testing”
summary
Visual testing uses baseline screenshots compared per iteration: capture a golden image, re-run, diff, then either file a defect or update the baseline. Tools split into code-based or configuration-based offerings; prefer ones that let you integrate SDKs into existing automation, support CI/CD, and scale as layouts change. Key capabilities are AI/ML-assisted smart failure analysis, rule-based ignores for ads and dynamic regions to cut false positives, anti-aliasing-aware full-page comparisons, and easy baseline rebasing to reduce maintenance overhead.
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