Difference between Monkey and Gorilla Testing in Flutter
Hi everyone! today we explore the Difference between Monkey and Gorilla Testing in Flutter. Monkey testing is a type of random testing and no test cases are used in this testing. Gorilla Testing is manual testing and it is repetitively performed.
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Table Of Contents::
Disadvantages of Monkey Testing
Monkey Testing V/s Gorilla Testing
Monkey Testing:
Monkey Testing is a software testing technique in which the tester enters any random inputs into the software application without predefined test cases and checks the behavior of the software application, whether it crashes or not. Monkey testing aims to find the software application’s bugs and errors using experimental techniques.
- In Monkey Testing the tester (sometimes developer too) is considered as the ‘Monkey’
- If a monkey uses a computer he will randomly perform any task on the system out of his understanding
- Just like the tester will apply random test cases on the system under test to find bugs/errors without predefining any test case
- In some cases, Monkey Testing is dedicated to Unit Testing or GUI Testing too
Types of Monkey Testing:
Monkey Testing is further divided into several categories according to its way of implementation, See the following diagram for a quick idea of it:
- > Dumb Monkey: Testers have no idea about the system and its functionality, and also no assurance about the validity of the test case.
- > Smart Monkey: Tester has a precise idea about the system its purpose and functionality. The tester navigates through the system and gives valid inputs to perform testing.
- > Brilliant Monkey: Testers perform testing as per the user’s behavior and can specify some probabilities of bugs to have occurred.
Monkey Testing can also be performed for Android even. Monkey Testing may get more efficient with the use of tools. Even it can be used to find more bugs like other testing types. If we use a tool for Monkey Testing what could be the general process followed for it? Just have a quick look;
- Like any other testing tool first step is to register your software with the dedicated server
- Make sure you are well prepared with all the necessary references to build a test suite
- Run the built test suit
- ‘Monkey Test’ is the test log file that will be created to record test results
- Keep in mind that the test will go on until the system comes to a crash point at which the action is recorded into a log file
- Finally, the test report is shared with the concerned person and the test data can be stored and used for future reference
The process of Monkey Testing can be automated even with the use of tools but as it is some sort of new kind of testing introduced and not yet established on the industry level these tools have less identity, unlike others.
This situation may get changed with the coming era of the Testing Process then we will have look towards the upcoming impact of Monkey testing and its significant effect on industry standards. This is an introductory tutorial for Monkey Testing to cover basic ideas about it.
Advantages of Monkey Testing:
- New kind of bugs: Tester can have total exposure to implementing tests as per his understanding apart from previously stated scenarios, which may give no. of new errors/bugs existing in the system.
- Easy to execute: Arranging random tests against random data is an easy way to test the system
- Less skilled people: Monkey Testing can be performed without skilled testers (but not always)
- Less Costly: Requires considerably less amount of expenditure to set up and execute test cases
Disadvantages of Monkey Testing:
- > No bug can be reproduced — As the tester performs tests randomly with random data reproducing any bug or error may not be possible.
- > Less Accuracy — The tester cannot define an exact test scenario and even cannot guarantee the accuracy of test cases
- > Requires very good technical expertise — It is not worth always compromising with accuracy, so to make test cases more accurate testers must have good technical knowledge of the domain
- > Fewer bugs and time-consuming — This testing can go longer as there are no predefined tests and can find less number of bugs which may cause loopholes in the system
What is Gorilla Testing?
Gorilla Testing is a Software testing technique wherein a module of the program is repeatedly tested to ensure that it is working correctly and there is no bug in that module.
A module can be tested over a hundred times, and in the same manner. So, Gorilla Testing is also known as “Frustrating Testing”.
Monkey Testing V/s Gorilla Testing:
Monkey Testing is performed randomly with no specifically predefined test cases. It is neither predefined nor random. Monkey Testing is performed on the entire system and can have several test cases.
Gorilla Testing is performed on specifically a few selective modules with few test cases. The objective of Monkey Testing is to check for system crash Objective of Gorilla testing is to check whether the module is working properly or not.
Conclusion:
In the above article, we have discussed the critical difference between Monkey testing and Gorilla testing, and after seeing all the essential differences, we can conclude both the testing are the same because of the emphasis on randomly testing a given software under test.
Therefore, all the possible area is tested in contradiction to the requirement specifications. Both the Monkey and Gorilla testing approaches are action-centered software testing strategies to break the application or the software under test.
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