Visual Regression & Selector Self-Healing
Frequent frontend deployments often break existing DOM selectors or introduce visual defects that traditional unit tests miss. SyncETA combines Vision AI analysis with Selector Self-Healing to keep regression suites stable.
1. Vision AI Visual Regression
Traditional pixel diffing frequently causes false positives due to font antialiasing or 1-pixel shifts. SyncETA evaluates rendered layouts from a human perception perspective.
Visual Inspection Criteria
- Element Overlap: Detects popups or banners obstructing key interactive buttons.
- Text Clipping: Identifies button labels or descriptions overflowing container boundaries.
- Ignored Regions: Masks dynamic components (timestamps, live feeds) from comparisons.
2. Selector Self-Healing Pipeline
When DOM selectors fail due to framework upgrades or class obfuscation, SyncETA automatically identifies replacement candidates.
3. Human-in-the-Loop Governance
- Healing Review Queue: Lists broken selectors alongside AI-proposed replacements.
- Side-by-Side Visual Diff: Compares original and current component screenshots for 1-click approval or rejection.
- Audit Logs: Records approval timestamps and user identity to ensure test suite integrity.