So, why exactly is AI beneficial to automated testing services? Put simply, it allows the machine to learn and understand environments, perform “intelligent” actions, and improve itself automatically.
Let’s take a look at how these three capabilities will improve your automated testing program in the near future — and how it will save you untold amounts of time, money, and resources.
A QA engineer’s biggest asset is his/her experience. Depending on the domains they’re working in, seasoned testing experts are familiar with common bugs. They may even be able to predict where they will occur within the application.
Now, imagine programming an AI bot with the combined knowledge of a team of such engineers. In the future, AI bots will use predictive learning to detect show-stopping bugs much earlier in the development lifecycle.
Though automated testing is already a game-changer, it can get even faster with help from AI. Even with a great automation program in place, engineers must still manually test edge cases and other complex configurations. AI bots may soon be responsible for driving these sorts of tests, along with repetitive manual tasks like clicking buttons in an interface, inputting valid and invalid data into text fields, and more.
Imagine testing every action within your application, catching all of your regression defects after each completed build, and seeing a clear analysis of the slowest parts of your application — all within minutes. AI-driven performance tests will help generate clearer, more cohesive reports faster than your current automated process can, allowing your team to become more agile and respond to critical performance issues quickly.
Automation already allows for an unprecedented level of application coverage and test quality, so the power that AI will unleash is difficult to imagine. AI bots will be able to test every scenario within the test case with multiple combinations of data. Thanks to machine learning, the bots may uncover new behaviors as they run, and work them into the scenario. This strong, fast, and deep testing will help improve the quality of your product — exponentially.
AI bots will be able to analyze and learn your entire application in a matter of hours, versus the weeks and months of human engineers. This will result in rapidly drafted test cases, executed even faster. QASource has created an AI engine that not only helps reduce false positives, but has shortened QA engagements' regression analysis time by 60%. In addition to reducing the effort required by your engineers, using AI with your automation means you’ll be able to push out new releases to customers faster than ever.
Humans are an essential part of your QA team, and they always will be. But for some jobs, it’s just easier, more efficient, and less expensive to hire a machine. Writing and maintaining test code is one of those jobs, and fortunately for all of us, AI bots will excel at it. Adopting AI-driven automation will be a one-time investment that will result in huge ROI.
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