A ML test approach is defined. A ML test data set is created. The trained ML model is tested. The deployed ML model is derived from the trained ML model and tested. Consistency and bidirectional traceability are established between the ML test approach and the ML requirements, and the ML test data set and the ML data requirements; and bidirectional traceability is established between the ML test approach and ML test results. Results of the ML model testing are summarized and communicated with the deployed ML model to all affected parties.
