Author: Appvance Team

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.

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

The High Bar Set for Load Testing Today What are the criteria for a capable load testing tool that meets the needs of an app today, living in the Cloud, built with a microservices architecture, linking to external resource?  What should it include to ensure your dev team delivers a reliable, high-performance app that meets

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

The Current State of Open Source Test Automation Tools Open source automation tools such as Selenium have been the workhorses of QA automation for decades, especially for web apps. With the birth of open source in the 1990’s, there was an explosion of activity around the potential of open code to deliver high-value tooling that

We’re excited to share that we recently completed our SOC 2 Type I compliance audit in accordance with the American Institute of Certified Public Accountants standards for SOC for Service Organizations.  (This attestation is also known as SSAE 18.) It’s an important milestone, ensuring our customers that our platform, AIQ, provides enterprise-level security for their

Testing teams have several alternatives for manually creating scripts. Most date back years, some are platform specific, some open source, with Selenium remaining the benchmark for most test engineers, notwithstanding that it has fallen way behind the curve. Appvance’s entrant is the Appvance IQ Test Designer, a modern IDE that enables ultra-high productivity when creating,

Load and performance testing is something you can’t crowdsource, or shouldn’t anyway. After all, crowdsourced load testing would look a lot like DDoS, which is something SecOps wouldn’t appreciate. Nope, load testing is only feasible via automation, as Mercury Interactive showed twenty years ago with LoadRunner.   But, what about now? Well, Jeff Bezos made