Monkey testing is a software testing technique that involves applying random inputs and actions to a system to observe how it behaves under unpredictable conditions. Instead of following predefined test cases, this approach focuses on stressing the application with unexpected interactions to uncover crashes, freezes, or unhandled errors that structured testing may not reveal.

This technique is particularly useful for assessing application robustness. By simulating erratic user behavior or unusual system events, monkey testing helps identify weaknesses in error handling and state management. It is commonly used for user interfaces, mobile applications, and APIs where real-world usage patterns can vary widely.

When automated, monkey testing can run continuously and at scale, generating a high volume of random events in a short period of time. While it does not replace functional or regression testing, it complements them by covering scenarios that are difficult to anticipate manually. Over time, monkey testing contributes to building more resilient software capable of handling unexpected usage without failure.