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AI Testing Tools That Drive Automation

The use of artificial intelligence in test automation is one of the latest trends dominating the quality assurance industry. In fact, in Capgemini’s survey titled World Quality Report 2020-2021, 21% of IT leaders said that they are implementing AI in some form or another in their testing methodologies, while only 2% said that AI has no part in their future planning.

With that being said, it's easy to conclude that AI will have a significant impact on test automation in the coming years. Since faster product releases and great customer experiences define a business’s success, it has become imperative for companies to test their software applications before going to market. By implementing AI in the test automation framework, testers can see the following benefits:

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Software Testing in 2020: 7 Biggest Trends

The huge demand for high-quality products created in the shortest time possible made testing a critical success factor of the software development process. Because of the continually evolving technology and competitive market QA specialists are in constant search of new relevant testing techniques, so they can stay relevant and meet the rising customer demands. As a result, new approaches are steadily emerging. Here are some of the most important software testing trends to watch for in 2020.

Testing for Agile and DevOps

Agile and DevOps should be definitely mentioned among some of the most popular concepts in software development. Since both DevOps and Agile practitioners work on improving the quality of the products, testing becomes a common area of interest for two groups. In the competitive software development world more and more companies choose popular Agile methodologies which, in turn, has an impact on testing practices. In particular, Agile methodology ensures that testing becomes an inevitable part of the development process rather than a separate stage. At the same time, DevOps, which implements a continuous improvement cycle is aimed at reducing the duration of the testing processes. In the future, more and more companies will adopt DevOps philosophy to improve the quality of released products which will have a huge impact on how the testing is done.

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5 Ways AI Is Shaping the Future of Software Testing

5 Ways AI Is Shaping the Future of Software Testing

Artificial Intelligence is the hottest buzzword these days and advancement in AI allows enterprises and industries to make smart decisions and radically transform processes. As software tests shift gears from manual to automation for embracing the speed for DevOps and digital transformation, artificial intelligence has emerged to be the key lever for this change.

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Applications today interact with other apps through APIs, they leveraging legacy systems, and they grow in the complex from one day to the next in a nonlinear fashion. What does that mean for experts? The recent World Quality Report declared that it will help. It is now believed that the most significant solution to overcome increasing QA Challenges will be the rising trend and introduction of machine-based intelligence.

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The AI Impact on Software Testing

Software testing performed by human resources still has its value, although Artificial Intelligence (AI) is a promising way to make the process easier, faster, and clearer. Someday, the emerging technology of AI may force software testers to start looking for a new job elsewhere. But don't get tripped up with such predictions.

Strategies to implement AI and machine learning are far from perfect; companies still have plenty of challenges to work through. However, one thing is certain: the use of AI by QA professionals would upgrade the whole testing process, enhance testers' professional skills, and contribute to business growth.