droidcon NYC '19: Using ML to Make Your UI Tests More Robust
droidcon NYC 2019 | Using ML to Make Your UI Tests More Robust | Godfrey Nolan
What you'll learn
It is common practice to write many unit tests and API tests and only write a few User Interface (UI) tests. Why? Because UI tests are brittle. If you change one thing, the other tests unravel. What if you could use machine learning (ML) to help? Many apps have the same functionality, such as login, checkout, share, and pay. In this session, Godfrey Nolan talks about how to use Object Detection and labeling techniques to make UI tests more robust with a fraction of the code.
Table of contents
About the author
Droidcon is the largest global network of developer conferences which bring together the industry's foremost experts dedicated to advancing the Android platform. Droidcon engages a global network of over 25,000 developers attending events in 22 cities. The first droidcon conference was held in 2009 in Berlin and, since, it has spread its influence across the globe and established itself as the world's foremost community-driven conference format. Droidcon is the place to meet the international A... more