So for people using more advanced capabilities, I found that surprising."
Functional testing software#
And also for the fact that AI is still an under-invested area in the software development lifecycle. "If you asked me ahead, I would have guessed maybe 15%, 20%. Given where AI is in the other areas of technology and other areas of the business, Sacolick found that number pretty high. AI is good for businessĪlmost all of the 200 IT leaders surveyed said they're experimenting with AI capabilities in testing (only 1% said they had no plans to use AI in QA), and nearly half of them (49%) are seeing the business benefits of using AI in QA, Sacolick said.Īreas where ML has the greatest potential include detecting anomalies, using computer vision to spot user interface changes, and leveraging natural-language processing in test creation, according to the report. Here are the key benefits of AI for functional testing. It was pretty high, a lot higher than I expected." "The surprising thing to me was how many people were using and seeing the benefits of AI.
Two hundred CIOs, CISOs, and IT leaders in development, QA, and operations from large enterprises were surveyed on their testing strategies, practices, and challenges. Artificial intelligence (AI) and machine learning (ML) allow companies to close the testing gaps and are best applied when they augment people’s expertise and capabilities to process real-time data.įor digital transformations, tools that leverage ML can help quality assurance (QA) test for issues that are difficult to perform manually or with automated testing, according to the "Benefits of Automation & AI in Functional Testing" report, written by Isaac Sacolick, founder and president of StarCIO.
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