How inDrive Automated UI Testing for Dynamic Screens with AI
The GeoWay team in inDrive’s Geo cluster added an AI-powered analysis layer to its existing UI tests to handle screens where visual content changes from one run to another. The main use case is maps: route geometry, camera position, and pin placement can all vary on iOS and Android even when the screen is working exactly as expected.
Authors: Alexey Sumin and Oleg Anisimov, QA Engineers at inDrive
A map can look noticeably different from one mobile E2E test run to another and still be completely correct. The camera may shift, the route may take a slightly different shape, or a pin may move a few pixels. A person can usually look at the screen and tell immediately whether something is wrong. A pixel-by-pixel comparison cannot.
This was a recurring problem for our GeoWay team, especially in tests involving the map layer. Many of our scenarios depend on routes, pickup...
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