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.

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.

Sure, machine learning is nothing new. And artificial intelligence is nothing new. However, when we are starting to leverage these not-so-new “intelligence” tools in our work as test engineers, that is quite new. This webinar gives some advice based on some research over the last 2 years of burgeoning ideas about how we are going to conduct performance testing and engineering work with AI and ML.

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.

In this Webinar, we will show you the fundamentals to calculating how effective your team is at finding bugs in your software. Using ServiceNow and Micro Focus ALM to demonstrate, we’ll show you how to automate the flow of information between your ALM and ITSM tools to monitor DDP in real time.

Machine Learning (ML) or artificial intelligence (AI) tools are the hottest topics right now in the testing industry, however, QA managers and manual testers have little to no knowledge about it. Thus, Yarin, the co-founder of TestCraft will go deeply into the details of ML functionality and explain the importance of ML & codeless Selenium – with real examples, statistics, and applications.

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.

Delivering a compliant product can be a resource intensive and challenging activity for most teams. Whether a team is trying to be compliant with company standards, industry standards or international standard it needs to produce various deliverables like specifications and formal verification documents.

The value of machine learning is rooted in its ability to create models that guide future actions and to discover patterns missed by the naked eye. Machine learning methods are vastly superior in analyzing potential customer churn across data from multiple sources such as transactional, social media, and CRM sources.

Developers continue inventing new technologies to build Web applications. They automatically generate code and markup, and asynchronously load data. And this creates new technical challenges for Web UI test automation.

Are you on your way to be an independent consultant or starting a Software Testing startup? Do you feel it is more like a leap of faith or is it a very calculated step taken only when you are 100% sure of success? In order to succeed, there are some general heuristics that need to be taken care of, irrespective of which business you start but then there are specifics about the nature of business and subject matter involved that hold true for a particular kind of enterprise.

This session is designed to talk about the agile ceremonies we tend to focus on, show where their long-standing use may result in the wrong outcome, and then recommend ways to fix those tendencies.

What’s interesting is, if you make just a small modification in how you work today will have a dramatic, positive impact on software performance in your organization. Join us for this webinar on Performance Engineering and ask James Pulley your performance questions.

Responsive web design (RWD) is an approach to web design aimed at crafting sites to provide an optimal viewing and interaction experience like easy reading and navigation with a minimum of resizing, panning, and scrolling across a wide range of devices (from desktop computer monitors to mobile phones).

Accessibility is making sure that your product can be used by as many people as possible, including the use of external technologies to help deliver your product experience to people that have disabilities. Inclusive Design is the development of products that allow for the greatest number of users to use and experience them without the need for additional technology.