Let’s start with an uncomfortable truth: Most software teams are testing more than ever, but
delivering quality feels harder than ever.
The velocity of modern software development has outpaced the ability of traditional testing
practices to keep up. Agile sprints, CI/CD, cloud-native applications, and distributed
architectures have all added complexity to an already high-pressure environment. Testing
every possible scenario across platforms, devices, and configurations is just not feasible
anymore.
So, the real question is: How do you test smarter—not just more?
The answer lies in Risk-Based Testing (RBT)—especially when powered by Artificial
Intelligence. At Qualiron, we believe this approach represents the next frontier of QA:
pragmatic, data-informed, and deeply aligned with business priorities.
In this whitepaper, we’ll walk through not just the what, but the how: how AI enables real-time
prioritization, how risk scoring changes the way