Transformation of the Software Testing: From Manual Efforts to AI Driven Efficiency

The Artificial Intelligence models developed in the last years have highly optimized many domains, including the software testing activity. Software testing was a manual task involving high-effort for testers to write test-cases specifications and write code to automate the defined scenarios. With the advent of artificial intelligence (AI), software testing has become more efficient and accurate. AI can automate many of the repetitive and time-consuming tasks, such as generating test cases, executing tests, and analyzing results. The current paper will consider a standard AI model and use it in a real project, analyzing the maturity of the generated content, together with the time improvements obtained.