How Artificial Intelligence Is Transforming Test Case Design and Test Data Generation in Software Testing

As the complexity of software systems continues to grow, ensuring robust testing practices has become increasingly critical for delivering high‐quality applications. This paper explores how artificial intelligence (AI) is transforming test case design and test data generation in software testing, addressing the limitations of traditional approaches. Test case design serves as the foundation for validating software functionality, while effective test data generation is essential for simulating real‐ world scenarios. Traditional methods often rely on manual processes that are time‐consuming and prone to errors, resulting in incomplete test coverage and inefficient workflows. In contrast, AI‐ driven techniques leverage advanced algorithms, including natural language processing (NLP) and machine learning, to automate and enhance both test case creation and data synthesis. These innovations lead to increased efficiency, improved coverage, and the ability to generate realistic test data that reflects diverse user interactions. This paper presents a comprehensive overview of AI applications in test case design and test data generation, highlighting the benefits of automation and the potential for real‐time adaptation to changing requirements. Case studies from various industries illustrate the tangible impacts of AI integration, showcasing enhancements in software quality and testing efficiency. Furthermore, we discuss best practices for implementing AI solutions within existing testing workflows, emphasizing the importance of change management and continuous learning. As organizations navigate the evolving landscape of software testing, embracing AI technologies will be pivotal in achieving superior testing outcomes and maintaining a competitive edge in the market. This paper serves as a valuable resource for software development teams seeking to innovate and optimize their testing processes through the power of artificial intelligence.