Test Case Generation

Test case generation aims to automatically create comprehensive and effective tests for software and other systems, reducing the time and cost of manual testing while improving software quality. Current research heavily utilizes large language models (LLMs) to generate tests, focusing on improving test accuracy, coverage, and the ability to detect subtle bugs, particularly in complex systems like large language models and cyber-physical systems. These advancements are significant because they address limitations of traditional methods, leading to more robust and reliable software and systems across various domains, including software engineering, AI development, and computer science education.