Which situation would be more suitable for simulation rather than real-world testing?

Simulation is particularly advantageous in scenarios where real-world testing could be risky, expensive, or impractical. Testing self-driving car systems in virtual environments exemplifies this perfectly. In a simulated environment, developers can create various driving conditions, scenarios, and obstacles that would be dangerous or costly to replicate in the real world. This allows for comprehensive testing of vehicle responses to a wide range of situations, such as adverse weather conditions, unpredictable human behavior, and emergency situations, all without putting lives at risk or causing damage to property.

Furthermore, simulation in this context can accelerate the development process, enabling faster iterations and improvements based on the outcomes of various test conditions. This capacity to analyze software behavior without physical repercussions makes simulation a much more suitable approach than real-world testing for self-driving technologies.

In contrast, evaluating a marketing strategy, conducting customer surveys, and designing physical structures typically require real-world interaction, feedback, or material properties that simulation cannot effectively emulate in the same way.