Software has always been in a state of evolution, ever since its inception. There are two aspects to examine the evolution of a software: outer and inner. The outer aspect is about the objective that the software can achieve. The inner part is about how it was developed and tested. Both outer and inner aspects go hand in hand. Earlier software was much simpler. They used to fulfill a specific purpose, which was mostly simpler in nature. Those functionalities could be achieved through a simple development process. Hence, if the code and logic were simple, their testing had to be simple as well. Which means, traditional software with its traditional development could manage with manual testing.

But as the software became more complex, its development became complex too. In that scenario, manual testing proved to be insufficient, both from a scalability and efficiency point of view. Hence came the power of automation. Automated testing was one step above manual testing and was able to fulfill many functions that traditional testing lacked. Yet, it was not sufficient. It still needed human involvement for writing test scripts and executing them. That became a bottleneck for the next generation. Thus, finally, AI-based testing. It is more intelligent and adapts to the application’s testing needs. In this article, we will specifically explore the impact of AI on Software Testing, its benefits, and discuss how to make the most out of it.