Imagine an application that contains legacy and many third-party integrations. Also, imagine an application that undergoes heavy UI A/B Testing. All barriers towards stable and reliable tests.
This presentation will show how to use image processing and detection to improve test automation stability for complex applications with legacy and third-party integrations. The presentation will also touch on the basics of Machine Learning; data collection, model training, and model evaluation. And how we integrate the machine learning model into a Selenium UI Automation framework. The goal is to humanize the Selenium framework: “Able to detect between a QR code and barcode” or “Able to continue clicking on a submit button with different names and designs”.
Aan Chien Tan