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84% of respondents cited test complexity as a major challenge.
Response rate considering full automation and AI use rises
According to research by Keysight Technologies, as the complexity of products increases, the complexity of testing also increases, with 45% of respondents considering fully automated testing within three years and 52% considering the use of AI.
Keysight announced on the 5th the results of a global study commissioned to global market research firm Forrester, which targeted decision-makers in testing operations.
According to the research report 'Overcoming Test Complexity with Automation and AI,' the adoption rate of automation is increasing, with 75% of organizations using a combination of automated and manual testing, but only 11% are fully automated.
77% answered that the number of tests increases as complexity increases, and that without automation, product development speed slows down.
Jeff Harris, Vice President of Portfolio and Global Marketing at Keysight Technologies, stated, “We anticipate that the COVID-19 pandemic will accelerate the adoption of remote development and automated test sequencing, and we expect a significant increase in the use of digital twins.” He added, “Manual or partial automation cannot meet the needs of organizations today, and A"It is difficult to overcome test complexity without I-based automation," he stated.
Major technical challenges arising from test complexity include long cycles, accurate bug and problem capture, and problem resolution.
Respondents stated that these issues have a direct impact on business outcomes and the product development process, including security breach risks (51%), increased costs (48%), slower product launch speeds (42%), product defects (36%), and revenue loss (34%).
Companies recognize that manual testing and partially automated testing cannot keep up with the increasing complexity of products.
As a result, 45% answered that they would consider full automation within the next three years, and more than half, 52% of respondents, answered that they would consider integrating complex test suites using AI.
Organizations expect various benefits from the transition to intelligent automated testing.
Respondents anticipate improved productivity (59%), product feature or performance simulation (54%), and bug fix automation or simulation to save time related to fix-retesting (53%).
In addition, business impacts include higher quality products that increase customer satisfaction (59%), reduced time to market (50%), and faster and more efficient product development cycles (50%).
Jeff Harris, Vice President, stated, “Keysight is building intelligence automation into workflows across its entire software product portfolio to meet these demands and advance test and verification automation,” adding, “We can deliver the superior product quality with high customer satisfaction that customers expect, as well as reduced time-to-market and faster product development cycles.”
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