In this talk, Noemi will cover key concepts about crawlers - what they are, why and when we need them, types of crawlers, and their components. We will see a demo for creating and using crawlers with Selenium, and the pros and cons of doing so.

During this talk we will see how you could take record and playback tools to the next level, in order to create maintainable code in an effortless and speedy way. We will visit airtest project for this purpose, and we will explore some cool features such as finding objects by a screenshot or in XR (cross reality)

Virtual reality it's taking importance in the recent days. In the testing side we need to take into account some particularities of the platform that might not be common in other platforms.

In this talk, I intent to cover the different testing branches and what we would need to check while in VR.

Running too many tests could be expensive in the agile world. Selecting the right test cases to run has always been a tough task.

In this talk, I intend to explain how machine learning could help us determine test cases to run from a large test suite. I start explaining the problem itself and the variables that we can take into account in order to decide the most representative tests.

We will explore examples of situations of data relationships that would not seem to be obvious for a human but a machine could detect.

Then I explain a bit on machine learning and how it could be applied to this problem. We will look into how much reliable this solution would be and what can we do to implement it, as well as alternatives to this solution.

Last I show an example and open for questions.