The companies - Capegemini Sogeti and OpenText - say the 15th edition of the report highlights that with high customer expectations, interoperability demands, regulations, evolving guidelines, and cybersecurity risks, testing now requires an approach that is more rigorous and agile than ever before - and noting that the trend of hyper-personalisation is also adding to the complexity, as it demands exhaustive testing.

“Quality Assurance (QA) is therefore evolving from a pure testing scope to broader Quality Engineering (QE), which focuses on delivering value over volume to enable customer experiences, brand protection, and business outcomes. This shift requires a re-focus onto the end-to-end customer journey and collaboration with business teams,” the report observes.

According to Capgemini and OpenText, the use of AI is on the rise in quality engineering, but an incremental approach is key - and trends in the use of AI to deliver quality outcomes are moving fast - while organisations cite for the first time, higher productivity as the primary outcome driven by AI (65%), with Generative AI making it possible increased productivity and velocity, leading to more frequent deployments with a higher quality customer experience.

“Respondents reported that using AI to improve the reliability of tests (33%) and reduce the number of defects (29%) was no longer their primary focus. This indicates a shift in the testing philosophy, with an increased tolerance for defects as long as they can be fixed quickly and efficiently. Continuous testing, inherent in Agile and DevOps4 practices across organisations, has accelerated this trend,” the two companies say.

“However, concerns related to security, privacy, and biased outcomes still need to be addressed, with 31% remaining sceptical about the value of AI in QA, emphasising the importance of an incremental approach.”

Mark Buenen, Global Leader, Quality Engineering and Testing at the Capgemini Group, commented: “The World Quality Report provides insights on the key trends and developments in Quality Engineering. It sheds light on the evolving role of quality within sustainable IT and the opportunities for applying AI solutions, notably the huge potential of generative AI applications. It’s interesting to see the role AI can play, particularly in generating test cases and automating quality procedures, but also on the importance of quality practices to enhance value delivery to customers and end users. However, to ensure AI’s reliability within Quality Engineering long-term, organisations should take a gradual, incremental approach.”

“Quality Engineering is changing, and AI is one of the driving forces for this transformation. AI offers endless possibilities and opens the door to smarter DevOps, including quality assurance,” said Muhi Majzoub, Chief Product Officer, OpenText. “As the findings in the World Quality Report demonstrate, 77 percent of businesses understand this and are making investments to make AI a critical part of their quality engineering infrastructure. AI’s impact will extend beyond investors and customers to provide profound economic, social and environmental benefits as well.”

Noting that “quality engineering’s active role within sustainable IT”, the companies say this year’s edition of the report also confirmed sustainable IT as an increasing interest area for quality teams - and the vast majority (97%) think that QE is an active element in driving the sustainability agenda in their organisation and over half (55%) highlighted benefits on the environmental aspect of sustainable IT.

“However, for most respondents (63%), the priority over the next 12 months remains understanding how to monitor and report on green metrics within their QE testing processes,” the report notes, adding that to keep up with the fast-paced digital environment, 70% of organisations cited that they are valuing a central Testing Center of Excellence (TCoE) over traditional project level QA practices. This demonstrates they are moving to Agile quality management, which emphasises continuous improvement, adaptability, and customer-centricity.”

The report observes that notably, respondents are prioritising development skills for quality engineers, such as SQL/Python/C#/Java (42%) and CI/CD (39%), over traditional testing skills like automation (28%) and performance tooling (24%) - and despite the rise in quality automation, acknowledges “persistent challenges, with an average of 27% of organisations still grappling with legacy systems and the fast-changing application landscape”.

The report and additional information are available here.