Tag: Generative AI

Introduction Software test automation has been a cornerstone of software quality for decades. However, the traditional approach to test automation and maintenance has been plagued by high costs, limited resources, and the need to prioritize critical test cases. In recent years, Artificial Intelligence (AI) and especially generative AI has emerged as a game-changer in the

We live in an API driven world. One upshot of this is that many applications must be tested at the API level, a reality not without complications. Fortunately, we at Appvance have engineered a great simplification to the challenges of API testing. It’s called the Appvance Services Workbench and comes as part of our Appvance

Testing and the CI/CD Process In the post, Continuous Testing: Required But Not Enough, our CTO Kevin Surace explored the necessity of Continuous Testing, but also its shortcomings. As he covered there, continuous testing requires a range of automated testing approaches, covering unit tests, API and integration tests, as well as more complete end-to-end tests.

Application Coverage™ is the new gold standard metric of testing completeness, having supplanted the old-school metrics of Test Coverage and Code Coverage. This is because Application Coverage mimics user experience and can only be comprehensively achieved via generative-AI. Test Coverage and Code Coverage are limited because they are human dependent in terms of test conception,

The Quantum Leap that AI Can Provide to Testing The buzz around ChatGPT and GPT4, the latest release of the large language model from Open AI, has not abated since it burst onto the tech scene several months ago. Many dev and testing teams are experimenting with leveraging the model to automatically write test scripts.

Generative AI is a godsend for software quality teams and their executives. Indeed, Generative AI has changed software quality for the better in five substantive ways:     Collectively, these five changes usher in a new golden era of software quality. And, they elevate the quality function from mere testing to true Quality Engineering. Let’s drill down

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

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

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

Generative AI is a type of artificial intelligence (AI), one of many, where it is trained on a very large set of data. After training, if you give it some direction, it generates something for you. It can generate an answer, text, a picture, or it might generate code. It generates things based on your