Discussions

Monkey testing is a testing technique where an application is subjected to random inputs, actions, or events to observe how it behaves under unpredictable conditions. Instead of following predefined test cases, this approach focuses on discovering crashes, freezes, and unhandled exceptions that occur during abnormal usage.

This method is particularly useful for evaluating the robustness of applications with complex user interactions, such as web and mobile apps. By simulating erratic user behavior, monkey testing can reveal weaknesses in error handling, state management, and system stability that structured testing may not uncover.

Monkey testing is often automated to generate a high volume of random events quickly. To make findings actionable, teams rely on proper logging and reproducibility techniques. While it does not validate business logic, monkey testing complements functional and regression testing by strengthening fault tolerance.

Incorporating monkey testing into a broader QA strategy helps teams build more resilient software capable of handling real world unpredictability.