Top AI-Powered Tools for Software Test Automation
R. Adline Freeda, K. Sudha · Advances in computational intelligence and robotics book series · 2025
As software systems become more complex, there is also an acute need for efficient, accurate, and scalable testing solutions. While traditional test automation is indeed quite powerful, it very often has to struggle against the demands of more advanced development environments that rely on continuous integration and delivery pipelines. We will compare these tools with a number of real-world case studies, underlining the improvements in how these tools enhance software quality and reduce the time-to-market along with the ability to perform continuous testing.Of course, we also touch upon the related issues when adopting AI-driven testing solutions-the challenges of data privacy and the integration complexity of new tools into existing workflows. By the end of this chapter, you will understand in clear-cut terms the main benefits and limitations and the scope of AI-powered tools, thus making them better decision-makers when it comes to choosing and applying such technology to their software testing processes.