Non Functional Property

Non-functional properties research focuses on aspects of systems beyond their core functionality, such as performance, robustness, and security. Current research employs diverse approaches, including large language models for automated test generation, Gaussian processes for time series prediction incorporating functional data structures, and neural networks for analyzing complex systems like neuronal networks and functionally graded materials. This field is crucial for improving the reliability, efficiency, and safety of various systems, from integrated circuits and financial models to robotic systems and AI applications.