Autonomic verification of HDL models using real-time statistical analysis and layered feedback stages

摘要

Real-time statistical analysis is used to perform autonomic self-healing within the context of a 3-tier regression system for analysis of a computer system design component. Throughout the system, there are mechanisms for implementing self-healing if breakage is detected. The regression layer with the highest throughput is maintained in a much cleaner state than otherwise, thereby creating a more efficient environment for identifying and removing defects in the design.