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Artificial intelligence (AI) is a technology that’s transforming quality in software testing and revolutionizing other walks of life. It has been improving the quality of our lives for over a decade, and Appvance has been at the forefront of the technology since its inception. There were a few inklings of it when Facebook started to recognize faces and put names on them. Many people don’t realize they’ve been using AI for at least a decade and in some areas, two or three decades. For instance, in the banking industry, the healthcare industry, and making stock investments. Law enforcement has been

My first programming job after college was for a garment maker in Slough, in the United Kingdom. We were a small team, and everyone had to do everything. My programming by day tasks were complemented by being “on call” one night per week and one weekend day per month. Arriving at the data center in the middle of the night, the first words I said to the operations team were always the same, “What changed?” I had learned, just as Newton had predicted, that software continued in its “uniform state of motion” unless acted upon by some external force. That

With the growth and evolution of software, the need for effective testing has grown exponentially. Testing today’s applications requires an immense number of complex tasks, as well as a comprehensive understanding of the application’s architecture and functionality. A successful test team must have strong organizational skills to coordinate their efforts and time to ensure that each step of the process is efficiently completed. To thoroughly test an application, teams must perform a variety of tasks to check the functionality of the software, such as scripting and coding tests, integrating systems, setting up and running test cases, tracking results and generating

Generative AI is a rapidly growing field with the potential to revolutionize software testing. By using AI to generate test cases, testers can automate much of the manual testing process, freeing up time to focus on more complex tasks. One of the leading providers of generative AI for software QA is Appvance. Appvance’s platform uses machine learning to analyze code and generate test cases that are tailored to the specific application being tested. This allows testers to quickly and easily create a comprehensive test suite that covers all aspects of the application. In addition to generating test cases, Appvance’s platform

Using artificial intelligence (AI) in testing to visually expand the accessor pool increases accuracy, productivity, and almost completely eliminates maintenance. The number one reason test cases get re-written is that an accessor has changed.  Using AI and image recognition provides more ways to recognize that accessor, which improves the stability and reliability of the test. It’s a transformational way for a test platform to recognize web elements that makes the traditional means of using accessors, or locators, arguably almost obsolete. What are accessors and how do they work? Accessors are the way that a test system can recognize an action,

For the better part of 20 years, the e-commerce QA test industry has known that every one-second delay in response, they can lose up to half the page audience. Not because the user bought somewhere else, but because they became distracted. Today’s distractions are probably much higher than they were when those original studies were done 20 years ago. Even on your computer, you can easily get distracted waiting for the screen to fully load, when you get an important email, and you forget about what you were going to buy. This is also true on mobile. In fact, it’s