Are you tired of spending endless hours maintaining your automated test cases? Do you dread looking at test automation reports because of the tedious tweaks you know you’ll need to make from the latest updates from dev? Has your team lost its faith in test automation?
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.
Accelerated delivery is now mandatory, especially for digital transformation. That is the reason continuous delivery, low-code, no-code development is getting utilized everywhere. Application teams need to release the new features faster or update the features faster.
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.
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.
Focusing on more valuable automation, shifting traditional “right” tasks left, and tailoring refinement to account for more efficient activities are some of the topics we’ll discuss.
You can start painting without learning how to draw, but a good artist can tell — just by looking at a painting— if a work of art was done by someone who was an experienced artist, or a novice. Similarly, you can start automation without much training, but an engineer, well versed in automation, can quickly tell whether someone is practiced or not.
