Measuring quality requires many questions to be answered. The most obvious ones may be: “What is quality?”, but also “How can we measure it?”, “Which metrics are most accurate?”, “Which are most practical?”.

In this talk, I share some general motivations for measuring quality. I review commonly used metrics that claim to measure quality, I rate them with regards to how they may be helpful or harmful to achieve actual goals. I give some examples how the weaknesses of one metric might be…

UI testing is an essential part of software development. But the automation of UI tests is still considered too complex and flaky.
This talk will cover the "state of the art" of UI testing with an overview of tools and techniques. It will be shown which kind of representations are used by today's test tools and how the addressing of elements in the UI is done.
In addition, the role of artificial intelligence in the different approaches is shown and a prediction of testing tools of the future is…

At first glance, testing AI systems seems very different from testing “conventional” systems. However, many standard testing activities can be preserved as they are or only need small extensions.

In this talk, we give an overview of topics that will help you test AI systems: Attributes of training/testing/validation data, model performance metrics, and the statistical nature of AI systems. We will then relate these to testing tasks and show you how to integrate them.

Target Audience:…

IT is always changing ... In this talk I'll do some crystal ball gazing from two perspectives. At heart, I’m a tester. For two years I’ve also been a CEO. I’ll look at what factors are at work and what kinds of effects will they have on how we work and the roles of testers and software professionals.

Alongside musings about the future, I’ll talk about concrete activities on an individual and company level to best prepare ourselves for this nebulous future.

Target Audience: Everyone
Prerequisite…