Software Testing Automation Through AI-Generated Scenarios

The integration of Artificial Intelligence (AI) into software testing has revolutionized the automation of test scenario generation. Traditional manual testing methods are increasingly inadequate in handling the complexity and scale of modern software systems. AI-driven approaches, particularly those utilizing Large Language Models (LLMs), offer significant advancements in generating diverse and comprehensive test scenarios. This paper explores the methodologies, tools, and frameworks that leverage AI for test scenario generation, emphasizing their impact on efficiency, accuracy, and scalability in software testing processes. Through case studies and real-world applications, we illustrate the effectiveness of AI-generated test scenarios in enhancing test coverage and reducing human intervention.