A systems engineering framework for understanding and managing complexity through requirements, verification, optimization, simulation, and real automotive examples.
When systems learn, engineering integrity endures. This paper explains how learning and adaptation strengthen the V-Model without breaking verification.
Change control preserves engineering integrity as systems evolve. This paper explains: uncontrolled change spreads across interfaces and breaks system behavior.