A dynamic design of experiments (DoE) tool suite from IAV Automotive Engineering considers the time varying nature of input and output values to a model. As with steady-state methods, optimization applied to dynamic models can enable extraction of multiple solutions from the same set of data. The ability to model transient engine behavior permits the development of systematic methods of transient engine calibration. The primarily steady-state dynamic DoE approach is suitable for tasks early in the calibration process, such as populating base tables; it allows calibration tasks normally performed in-vehicle to be executed with data from the test bed and provides the ability to structure the process to decrease calibration time. DoE provides a controlled framework for analysis, such as repeatability of the test process while varying the test parameters and duplication of drive trace execution while modifying calibration.