Test Point Insertion

Test point insertion (TPI) focuses on strategically adding points to enhance the testability of systems, particularly in improving fault coverage for built-in self-test methods. Current research explores diverse approaches, including deep reinforcement learning with graph neural networks to optimize test point placement, and counterfactual data generation and diffusion models for photorealistic object insertion in image processing. These advancements have implications for improving the efficiency and reliability of testing in various domains, from electronic circuit design to robotic manipulation and medical simulations.