4 Advantages of Applying AI in Software Testing

Since the effectiveness and efficiency of your testing process are crucial to the success of your product, there’s no surprise that we’re always looking for smarter, faster, better ways of testing. As the popularity of artificial intelligence grows, more and more testers are realizing its capacity to make cumbersome and time-consuming tasks simpler.

Artificial intelligence is coming, so we should take advantage of its abilities. Here are four benefits to applying AI in software testing.

1. Unfailing accuracy

Even the most experienced testers sometimes make mistakes, especially when dealing with repetitive tasks. This is the main reason automation became so popular. Unlike humans, AI always performs the necessary tasks exactly as intended, completing the same repetitive tasks successfully, time after time. While AI works on repetitive tasks, testers are able to focus on creating effective automation solutions and on exploratory activities that only humans can perform.

2. Improved flexibility

Even the simplest changes in an application can lead to test failures in automation tools because traditional testing scenarios consider a singular selector or path. Therefore, such testing approaches are somewhat rigid. Machine learning and AI allow for a more flexible testing process, learning relationships between various segments of documentation. Such systems can automatically adapt to any changes in real time, being both flexible and reliable.

3. Increased test coverage overall

AI allows you to increase the scope and depth of tests significantly. It can check the file contents, memory, data tables, and internal program states, being able to quickly determine whether or not the program works as intended. AI-powered test automation allows for executing over a thousand test cases in one test run, which is impossible through manual testing.

4. Visual validation

Pattern recognition and image recognition enable AI to detect visual bugs by performing visual testing of applications and making sure that all the visual elements look and function properly. AI can recognize dynamic UI controls regardless of their size and shape, analyzing them on a pixel level.

Even though AI still cannot perform software testing with no help from humans, it is already capable of improving the testing process significantly. The main advantage of AI is that it takes automation to a new level so that testers don’t need to deal with repetitive tasks anymore, but it also improves the flexibility and accuracy of software tests and, through pattern recognition and machine learning, allows computers to perform tasks that used to require human work. That leaves us more time to do the creative, exploratory aspects of testing.

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