Level Test

Level testing encompasses a broad range of techniques for evaluating the performance and reliability of systems, from software and AI models to physical structures and robotic systems. Current research focuses on developing automated testing frameworks, leveraging AI models (like LLMs and CNNs) for test generation, analysis, and evaluation, and employing techniques such as Structure from Motion for high-precision 3D modeling in physical testing. These advancements aim to improve the efficiency, accuracy, and robustness of testing processes across diverse scientific and engineering domains, ultimately leading to more reliable and trustworthy systems.