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. 

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Infinite Monkey Theorem

It describes that a monkey hitting keys at random on a typewriter keyboard for a random amount of time will almost type a given text. In Monkey Testing, the tester is considered the Monkey. Like a monkey who uses a computer, he will randomly perform any task on the system out of his understanding, the same as the tester applying random test cases on the system under test to find defects without creating any test cases. Monkey Testing is also part of the standard testing tools for stress testing in Android Studio....

Features of Monkey Testing

The features of Monkey Testing are as follows:...

Importance of Monkey Testing

Finding Unexpected Bugs: By exposing software to random inputs, monkey testing finds hidden bugs and uncovers unexpected problems. Stress testing: It creates stress conditions for robustness assessment by subjecting the system to a barrage of random inputs. Investigating Edge Cases: By identifying boundary conditions and edge cases, monkey testing makes sure the software can handle a variety of circumstances. Automation Opportunities: Cost-effective problem discovery can be facilitated by the efficient generation of random input sequences by automated monkey testing tools. Complementing Traditional Testing: By offering a distinct, unexpected viewpoint on software behavior, it improves formal testing approaches. User Experience Validation: Software usability and user experience are validated using monkey testing, which represents irregular user interactions....

Where can we use Monkey Testing?

Monkey testing can be used in the following cases:...

Types of Monkey Testing

There are 3 types of Monkey Testing:...

Monkey Testing vs. Gorilla Testing

Below are the differences between monkey testing and gorilla testing:...

Monkey Testing vs. Adhoc Testing

Below are the differences between monkey testing and ad-hoc testing:...

Smart Monkey Testing vs Dumb Monkey Testing

Below are the differences between Smart monkey testing and Dumb monkey testing:...

Advantages of Monkey Testing

Full Exposure: Testers have full exposure to implementing tests as per their understanding apart from previously stated scenarios, which may give various new types of bugs or defects existing in the system. Easy Execution: Execution is easy in monkey testing as random data is executed. Randomized Testing: Monkey Testing can be performed without highly skilled testers because it is randomized testing. Cost-Effective: It requires less amount of expenditure to set up and execute test cases because there is no need for environment setup and test case generation....

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....

Conclusion

A useful testing method with its own advantages and disadvantages is monkey testing. By improving total testing coverage, this testing can help create software that is more dependable and robust. In the end, its use needs to be customized to the unique traits and objectives of the software under examination....