I've been looking forward to writing this blog since I started this series. AI is not going to go anywhere, so we need to adapt our thinking in the QE/Testing world. The rise of AI is revolutionising how we build, test, and deliver software. Traditional Quality Assurance (QA) practices, focused on validating outputs, are no … Continue reading QA to QE: Rethinking Quality in the Age of AI
Tag: artificial-intelligence
Regulated industries such as finance, healthcare, and aviation bring their own set of unique challenges. These sectors require strict adherence to compliance, risk management, and audit readiness, all of which can feel like a roadblock to innovation. However, by embracing the five phases of the QE Transformation Model, organisations can not only meet regulatory demands … Continue reading QA to QE – Navigating Compliance in Regulated Industries
Now that we have defined the model, I wanted to look into how it could be applied across different industries and into different ways of working. No two companies work in the same way so some of this will not apply directly, but the point of this article is that Quality Engineering isn't hindered from … Continue reading Transforming QA to Quality Engineering: Implementing across Industries and Contexts
Now that we have defined how we are going to work in the QE world, built the capabilities, delivered change and modified the culture, we now need to look at how we assess how effective we are now working. As we reach Phase 5 of the Quality Engineering Transformation Model, the focus shifts to creating … Continue reading QA to QE Phase 5 -Measure and Adapt – QE Feedback Loop in Action
Simon Prior 