App Test Automation with AI-Powered Tools: Things to Consider Before We Jump in
There are numerous AI-powered tools for testing software today, and the adaptation of AI in testing to enhance the QA process is no longer far-fetched. But what are key questions institutions should ask to embrace AI testing? At Apptest.ai, we helped our global clients face the technical, institutional, and HR challenges of migrating from traditional testing processes to “AI-powered” test architecture.
In this talk, we will share some of the challenges we collaborated with our customers (eg courtesy of LG U+), and you will learn to address these challenges to speed up successful implementation of institutional AI testing.
Learning Objectives:
- Understanding key challenges before using AI powered tools for automated app testing
- Learn how to use fully autonomous AI exploratory testing for app with Apptest.ai
- Learn how to author and execute test cases with code-less environment on Stego
Jae Jun Hwang
After graduated from Columbia University in computer science. Jae Jun Hwang has been an influential software consultant and a seasoned open source developer for over 20 years. After founding his company, Apptest.ai, he launched cloud-based mobile app testing service, demonstrating fully autonomous exploratory AI testing for mobile apps. Currently, he is helping many global companies such as media group, carriers, and global motors groups implant AI testing in their automated app testing DevOps.