Data-Driven Proced CompletableFuture Modeling is a procedural modeling approach that, as a subclass of procedural modeling techniques, uniquely integrates empirical data—such as real-world measurements or observed examples—as direct inputs to guide, constrain, or inform the generation and parametrization of algorithmic rules for constructing complex structures or environments.