In this webinar, Jennifer Bonine will discuss the impact and scope of AI in testing. She will address some of the most burning questions out there on the subject around its impact to testers and give practical advice for when and how to add AI to your testing practices.
Just when we, as testers, got a handle on what Agile means for us, the landscape changed yet again to a DevOps culture. Words like continuous integration (CI), continuous deployment (CD), and pipelines are now ones we’re hearing on a daily basis. As a tester, I’ll admit, I had no clue of what these words meant, and how was I to change the way I tested to fit within this DevOps culture.
In this talk, Liz introduces the Cynefin framework to help make sense of different types of situations and how to approach them: the obvious ones, the complicated ones which require expertise, the complex ones in which outcomes emerge, and the chaotic ones that we’re usually trying to avoid. Find out how these simple concepts can help us counter our innate human desire for predictability, enabling change and innovation; not just in software development, but in every aspect of our lives.
The ultimate goal of a DevOps approach is to deliver high-quality features to your customers at the pace they need. High performing DevOps shops point to continuous testing and test automation as key contributors to their success.
As automation knocks on the door once again, for many there is a continued fear, when will I be automated away? While manual testing will continue for the foreseeable future, it never hurts to get introduced to the concepts of what might come next as a manual tester! The world of software development and software testing continues to change, and as it does, testing and development come to meet in the contested territory of DevOps.
Since AI driven test generation was first introduced in 2017, much has been learned. Millions of test steps were generated and executed, finding thousands of bugs. We will dig into how the technology works, where it works and doesn’t.
