Quality Unleashed: The business case for quality engineering and testing

This year, our World Quality Report 2024-25 in conjunction with Capgemini and our partner OpenText, dives deep into the rising importance of Quality Engineering (QE) across industries, exploring how businesses are adapting to the demands of an increasingly digital world.

Testing is about exploring to gain information about the system under test. In theory, this can be done with a map of defined requirements, but in reality, most of it has to be done in uncharted territory.

Welcome to the first part of our Quality Engineering series! In this blog, we’ll explore how Quality Engineering aligns with testing, using a model to visualize the interrelationships of various quality measures.

 In Gen AI, the software workforce has a tool to accelerate key tasks related to impact assessment, test design, test execution, deployment, support and maintenance with minimized effort and a reduced learning curve.

Now, with the emergence of generative AI, we stand on the brink of the next major evolutionary leap in software and quality engineering. This technology merges with traditional engineering principles to significantly expedite development, testing, and maintenance processes.

Are we reaching the tipping point? Our 16th World Quality Report (WQR) reveals significant trends in testing automation, highlighting the influence of AI and the need for clear strategies to enhance productivity and efficiency.