Simulation-Based Validation
Simulation-Based Validation is a software testing and verification methodology that uses simulated environments or models to validate system behavior, performance, and correctness under various conditions. It involves creating digital twins, mock scenarios, or synthetic data to test software components, especially in complex systems like autonomous vehicles, aerospace, or distributed systems, without relying solely on real-world testing. This approach helps identify edge cases, assess system robustness, and ensure reliability before deployment.
Developers should learn and use Simulation-Based Validation when building safety-critical systems, IoT applications, or systems with high operational costs, as it reduces risks and costs associated with physical testing. It is particularly valuable in domains like robotics, healthcare simulations, and financial modeling, where real-world testing is impractical, dangerous, or expensive, enabling iterative testing and validation in controlled virtual environments.