Despite widespread interest in increasing testing automation, this remains a challenge for companies. New research conducted by KeySite Technologies.
Three-quarters of those surveyed say their business relies on a combination of automated and manual testing, with only 11% reporting that they have a “fully automated” testing strategy.
The report is based on an online survey of more than 400 decision-makers in North America and the Asia-Pacific and EMEA regions, conducted by Forrester in December 2021.
“We have learned in research that companies feel pressured to automate more tests, especially when asked about the future. Manual or partially automated strategies simply cannot keep up with the needs of companies today and without AI-driven automation they will fight to overcome the complexities of testing, ”said Jeff Harris, VP of Kissite Technologies Portfolio and Global Marketing. The development will accelerate the adoption of automated test sequencing. We expect a lot more use of digital twins as development teams try to keep working together but from different positions. ” Harris added that KeySite is considering these trends throughout its portfolio development.
KeySite concludes that “enterprises acknowledge that manual and partially automated testing techniques cannot keep pace with the growing complexity of products” – when testing takes longer, product development and production timelines are stalled. Seventy-five percent of respondents said the number of exams increased and 67% reported that the exam deadline increased. Companies have also reported business implications such as high risk of security breaches, including long testing times and slow market times as a result of high costs. This is putting pressure on companies to plan for more automation. Keysight’s survey found that 45% of respondents would consider using a fully automated method over the next three years, reflecting a 409% increase.
There is a lost utility with lost time, the agency noted in the report. Companies collect huge amounts of data as part of technology development, but then it is stored in functional data silos resulting in “artificial barriers to creating complete, agile design processes” as well as the inability to integrate using DevOps or testing.
Respondents to the survey expressed high hopes for increased use of automation and artificial intelligence, including increased productivity and improved ability to simulate product functionality and performance, as well as improved bugs.