THE FUTURE OF AI-DRIVEN TEST AUTOMATION

Abstract

This article explores the transformative impact of artificial intelligence (AI) on software test automation and its implications for quality assurance. It examines the rapid adoption of AI-driven testing tools across industries, highlighting key innovations such as self-healing scripts, intelligent test case generation, predictive analytics, and machine learning algorithms for test optimization. The article presents statistical evidence of AI's effectiveness in reducing testing costs, improving defect detection rates, and enhancing test coverage. It also delves into real-world applications in the finance and healthcare sectors, demonstrating how AI-powered testing addresses critical challenges in high-stakes environments. The article underscores AI's role in revolutionizing software testing practices, enabling organizations to achieve unprecedented efficiency, accuracy, and quality in their development processes.