Disadvantages of Monkey Testing
- Testing with Random Data: In monkey testing, the tester performs tests randomly with random data reproducing defects is almost impossible.
- Less Accuracy: The accuracy of monkey testing is very less and it doesn’t give always the correct result.
- Resource-Intensive: Automated monkey testing could require an important infrastructure and be resource-intensive.
- Not Suitable for All Testing Types: Testing scenarios with exact design specifications or controlled inputs might not be a good fit for monkey testing.
Monkey Software Testing
Monkey testing is a type of software testing in which the tester tests the application or software by providing some random inputs and checking the behavior of the application or the software. It is also observed by seeing whether the application or software crashes on a given input or not. Monkey testing is usually implemented as random and automated unit testing. Monkey testing is named because of the Infinite Monkey Theorem.