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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

droidcon NYC - Pluralsight course - droidcon NYC '19: Using ML to Make Your UI Tests More Robust
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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.

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droidcon NYC - Pluralsight course - droidcon NYC '19: Using ML to Make Your UI Tests More Robust
droidcon NYC

Droidcon New York is where the industry's leading Android experts converge to support the Android platform and create a strong network for developers and companies.

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