
The advent of generative artificial intelligence (AI) has marked a new era in software testing, providing solutions to previously insurmountable problems. Traditionally, ensuring the quality and comprehensiveness of test data has been a labour-intensive and flawed process, often leading to inadequate test coverage. Generative AI addresses these shortcomings by synthesizing realistic, high-quality artificial data that accurately reflects a broad spectrum