System models are an increasingly important part of system design, deployment, and maintenance. Models are no longer heuristic; they are becoming more accurate individualized representations of the artifacts they are connected to. These digital twins accelerate the design process, reduce test costs, and improve maintenance. But these models are only as valuable as the confidence in those models. In this session, we will discuss strategies for increasing the accuracy of models and building confidence in those models.