cc-qa

Automated browser QA uses diff-based page detection to identify affected routes and UI flows, scoring overall health while capturing screenshots and console logs as evidence to guide iterative fixes until quality goals are met.

A health score in automated web testing evaluates overall page quality by applying a predefined taxonomy and rubric to detected issues. It scores impacted routes during the explore phase to prioritize necessary iterative fixes.

Integrate automated QA reports into your repository workflow by outputting structured health reports that trigger fixes across repositories. The automated fix loop enforces re-scoring to ensure quality goals are met before completion.

Automated QA testing works with diff detection by automatically selecting affected pages based on content changes. It targets impacted routes, components, and UI flows to ensure comprehensive end-to-end testing of modified areas.

You can capture browser console logs and screenshots automatically during QA testing through built-in evidence collection. This automated evidence gathering documents issues for each page using a predefined issue taxonomy.

The best way to enforce an automated fix loop for browser testing issues is to phase your QA process into orient, explore and score, and fix stages. This loops fixes with re-scoring until health goals are achieved.