At the turn of the 19th century, the industrial revolution replaced many manual jobs and that resulted in a better quality of life. At the same time, it also led to the loss of a large number of jobs in the short term. Since then there has been a recurrent fear that technological change will spawn mass unemployment. However, the Artificial Intelligence and Machine Learning revolution, that the world has come to terms with, will be significantly different from the Industrial Revolution.
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.
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.
The world of testing is always evolving – software development life-cycles, delivery models and team culture. We see this evolution affecting the way teams are constructed, what skill-sets are required, and the ownership of quality within the organization.
Join our STP Community Webinar host, Smita Mishra, as she leads this panel discussion with Theresa Neate and Hilary Weaver-Robb. These seasoned Testing Professionals will discuss their experiences with testing, development, and a leadership perspective in a DevOps world. They will also discuss how testing has evolved, and the types of testing they are focusing on now.
Here is your opportunity to ask any questions to Michael Bolton. Michael is a consulting software tester and testing teacher who helps people solve testing problems that they didn’t realize they could solve.