A Generative AI Framework for Enhancing Software Test Automation: Design, Implementation, and Validation

The integration of Generative AI in software test automation can revolutionize testing processes by enhancing efficiency, accuracy, and coverage. This paper introduces a novel framework that leverages Generative AI for autonomous test case generation, execution, and validation. By utilizing advanced machine learning algorithms, our framework addresses key challenges in traditional test automation, such as maintaining test coverage and adapting to frequent software changes. Experimental results on a realworld ecommerce platform show a 20% improvement in defect detection and a 30% reduction in test execution time compared to traditional methods, validating the effectiveness of our approach.