It was recently found out that organizations are switching towards a more orchestrated approach to Quality Assurance (QA) as it is growing in importance.
Indeed, the World Quality Report 2021-2022 by Capgemini, Sogeti, and Micro Focus, revealed that significant developments in key trends across QA and testing have led to this shift in perception and an increased rise of artificial intelligence (AI), agile, and DevOps, and Intelligent Industry.
It was reported that expectations in testing and QA are more realistic than before with organizations focusing on enhancing customer experience, security, responsiveness to business demands, and high quality of software solutions. More and more businesses are using AI and ML (Machine Learning) in their QA programs.
Around 48% of respondents have a ready repository of test execution data required by AI and ML platforms, 42% of business leaders trust the intelligence provided by these platforms, and 46% of organizations are willing to act on intelligence provided by the AI/ML platform. Hence, it was showed that there is higher confidence in AI in Quality Assurance.
Yet, it was pointed out that AI in QA hasn’t still reached maturity, as it is still in need of test strategy and test design skills for AI.
Moreover, over half of respondents stated that recognizing business priorities was one of the most important factors for successful DevOps adoption. However, a lack of professional testing expertise in agile teams remains a challenge. Organizations need to focus on collaboration and upskilling all employees responsible for quality.
It was also found out that most organizations are keen to achieve digital transformation and in order to do so, they need to improve efficiency, increase quality, agility, and flexibility as well as enhance customer experience. Hence, businesses have to focus on investing in products and services that will deliver the most value in the shortest amount of time, as well as in people.