QASource Blog

The use of AI in software testing is geared towards making the software development lifecycle easier. Through the application of reasoning, problem solving and machine learning, artificial intelligence can be used to reduce the tedious and manual aspects of software development and testing, and automate the whole process. What Is Automation Testing? Automation testing is the software testing process of running test cases by using automated testing tools. With this type of testing, QA teams can perform tests faster, receive more accurate results and address code defects sooner.

Smartphones, smart speakers, smart cars, smart coffee makers - everything around us is coming to life and becoming intelligent. Advanced technology like artificial intelligence (AI) and machine learning (ML) fuels the most exciting innovations of today, from self-driving cars and virtual / augmented reality to automated investing and improved medical imaging.

You want to maximize efficiency within your development cycle so that your team produces quality product releases. You also need to maximize efficiency in order to stay competitive within your industry and to increase ROI month after month, year upon year. Many businesses have seen instant advantages after implementing automated testing into their development cycle. But what is automation QA testing? And what types of tests can be automated?

Thanks to artificial intelligence, impossible ideas of the past have become the reality of today. With AI, we have discovered more about the greatness of outer space as well as the micro-complexity of diseases and the possibilities for more value remain endless. In everyday life, we interact with AI when talking to our smartphones, shopping online and streaming our favorite TV shows and songs. So, it should be no surprise that software QA is quickly shifting towards integrating AI in QA testing. In fact, the AI industry is rapidly growing year after year and predicted to be one of the biggest software testing trends of this year.

From the early robotics of the 1950s to the advanced, algorithm-driven machine learning of today, AI has come a long way in a short amount of time. Though AI is still relatively young, QASource has found that AI's current and potential value to automated testing is massive. With the increasing complexity of applications, the lightning-fast speed of the software development lifecycle, and the highly competitive time to market across industries, engineers will take all the help they can get, whether it be from machines or other humans. 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.