Computational Noise Validation is a systematic academic framework that integrates computational models and simulation techniques to quantitatively assess and verify the impact, propagation, and mitigation of noise in data, systems, or algorithms, distinguishing itself from empirical or theoretical validation approaches by its reliance on algorithmically generated and controlled noise environments.