During this talk, Roman will show how developing a custom toolkit allowed Yousician to automate testing of the audio apps. This topic will be particularly useful for QA Engineers in the game and media industries.

“There is a bug in production” have been the scariest words for Elena as a tester and QA analyst. She was sweating, blushing, panicking. What made it worse is that these bugs were often brought by the 3rd parties SDKs, so she didn’t have full control over this part of the code herself. Her attitude towards bugs in production changed after she observed a team of firefighters at work.

In the first part of this talk, he will show how to set up and run visual regression tests and how to use them to detect bugs. The second part does the mentioned experiment where we teach a neural network how our application looks in principle.

Building a Test Strategy in DevOps is not only about Test Automation, but how built-in-quality can be achieved in all steps of the SW development, within and outside of your CI/CD pipeline.

Traditional testing lets us spin up environments we have full control over – even attaching debuggers to the system while we execute our tests. To be able to test with confidence, and knowing what *actually* happens in our distributed systems we need to add observability.

With this session, he would like to show how easily we can set up a testing framework and start writing tests that are giving value. He will present BDD frameworks for API and UI testing along with adding accessibility testing methods to UI tests.

This session will present the advantages and disadvantages of Appium, and docker-android will get started with Docker-Android and run sample tests against it.

Most testing and development organizations approach their manual and automated testing efforts independently. What’s more, when you look closer at them, you notice that even within their automation efforts they are using a number of different testing frameworks, running independently and without much thought around coordination, coverage overlaps, or functional dependencies.

In this talk, we will go through my journey of discovering data science model testing and how she contributed value in a field she has never tested intending to help inspire testers to explore data science models.

Low-Code development is hot at the moment, the thing to consider and to jump into for companies. Quick and cheap development, by citizen developers, who doesn’t want this!? We have a few remarks on the subject we like to share.