Monkey testing is a testing technique that introduces random and unpredictable actions into an application to evaluate how it behaves under abnormal conditions. Instead of following structured test cases, this approach focuses on stressing the system with unexpected inputs, rapid interactions, or unusual sequences to expose hidden defects.

This technique is particularly effective for identifying crashes, memory leaks, race conditions, and unhandled exceptions, especially in applications with complex user interfaces or event-driven behavior. By simulating erratic usage patterns, monkey testing helps uncover stability issues that are difficult to detect through conventional functional testing.

Monkey testing is often automated to generate large volumes of random events efficiently. To make the results actionable, teams rely on detailed logging and reproducibility mechanisms so that discovered issues can be analyzed and fixed. While it does not validate business logic, it complements other testing types by strengthening robustness and fault tolerance.

When integrated into a broader testing strategy, monkey testing contributes to more resilient software that can handle real-world unpredictability without compromising user experience.

Learn more about monkey testing here:
https://keploy.io/blog/community/what-is-monkey-testing-in-software-testing