Unexpected bugs found by monkey testing can also be challenging and time consuming to analyze. In some systems, monkey testing can go on for a long time https://www.globalcloudteam.com/ before finding a bug. For smart monkeys, the ability highly depends on the state model provided, and developing a good state model can be expensive.
While monkey testing is sometimes treated the same as fuzz testing and the two terms are usually used together, some believe they are different by arguing that monkey testing is more about random actions while fuzz testing is more about random data input. Monkey testing is also different from ad-hoc testing in that ad-hoc testing is performed without planning and documentation and the objective of ad-hoc testing is to divide the system randomly into subparts and check their functionality, which is not the case in monkey testing. Monkey testing is an effective way to identify some out-of-the-box errors. Since the scenarios tested are usually ad-hoc, monkey testing can also be a good way to perform load and stress testing. The intrinsic randomness of monkey testing also makes it a good way to find major bugs that can break the entire system. Smart monkeys, if properly set up with an accurate state model, can be really good at finding various kinds of bugs.
End-user, test engineer, developer.Test engineer and developers either together or separately.ImplementationIt can be implemented on the whole system.It can be implemented on a few selective components of the system. 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. 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. The randomness of monkey testing often makes the bugs found difficult or impossible to reproduce.
Some smart monkeys are also referred to as brilliant monkeys, which perform testing as per user’s behavior and can specify some probabilities of bugs to be occurred. In monkey testing, the tester performs tests randomly with random data reproducing defects is almost impossible. Though we have seen that Monkey Testing is chaotic, it is recommended to plan and assign some time for its execution. In initial phases of testing, tester may not find bugs, but it can help is discovering memory leak, hardware crash, fault lines which are difficult to find in normal testing. So, by this testing, testers can ensure the needs of the end user and decrease the probability of software breakdown.
Types of monkey testing
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. Monkey Testing needs testers with very good domain and technical knowledge. As Monkey testing is Random, testing often makes impossible to reproduce bugs. Can be accesses by anyone, either a person who has complete knowledge on the application or a person who does not anything regarding the application.
- Some others believe that the name comes from the classic Mac OS application “The Monkey” developed by Steve Capps prior to 1983.
- It used journaling hooks to feed random events into Mac programs, and was used to test for bugs in MacPaint.
- Monkey Testing is also part of the standard testing tools for stress testing in Android Studio.
- Easy and cost effective to setup and execute it as requires some random input data to run against some random test cases.
- This type of testing is mostly done when tester has less time to create and execute test cases.
- For example, Tester who has enough knowledge in Insurance domain will be asked to enter Insurance domain’s inputs.
Here, we have learnt in key features, types and Advantages and Disadvantages of it. This technique is done automatically where user enters any invalid inputs to check applications’s behavior. Monkey testing can be categorized into smart monkey tests or dumb monkey tests. To make monkey testing more accurate, testers that are needed must have good technical knowledge of the domain. It can be used for testing in cases to imitate the activities of monkeys who are inserting random data.
Monkey randomly performs a task or provides input to the system without his understanding knowledge of the application. The accuracy of monkey testing is very less and it doesn’t give always the correct result. Monkey Testing can be performed without highly skilled testers because it is randomized testing. In case of time crunch and if all the other test are completed, tester can opt for Monkey Testing which allows fixing of bugs quickly. These type of Monkey testers have significant idea about the system or the functionalities. This is just like a normal tester who applies his/ her test cases without predefining any strategies to find bugs or errors.
As test cases are adhoc, application might get into stress, hence tester can also check for server response. It is a kind of black box testing and is done to ensure that the specifications given by the client are addressed properly. It is implemented when the defects are not detected at regular intervals.
Disadvantages of Monkey Testing
Monkey Testing is also included in Android Studio as part of the standard testing tools for stress testing. Some others believe that the name comes from the classic Mac OS application “The Monkey” developed by Steve Capps prior to 1983. It used journaling hooks to feed random events into Mac programs, and was used to test for bugs in MacPaint. This type of testing is mostly done when tester has less time to create and execute test cases.
Monkey Testing is a type of testing where user tests the system or an application by providing random inputs and checking the behavior or tests if the application or system crashes. Usually this type of testing in implemented randomly as automated Unit test. This Monkey testing was first used in 1983 to test MacWrite and MacPaint on Mac OS. As the name ‘Monkey’ refers to notorious and this is uncertain stating a monkey hitting keys at random on a keyboard for an infinite amount of time will surely result in some input.
Smart Monkey Testing vs Dumb Monkey Testing
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. It can be used to test an application for OSWAP issues where pre-compiled and random data can be used. Easy and cost effective to setup and execute it as requires some random input data to run against some random test cases. The randomness of Monkey testing helps in finding major bugs which can break the system. For example, Tester who has enough knowledge in Insurance domain will be asked to enter Insurance domain’s inputs.
This Monkey testing is included in Android Studio as part of Stress testing tools. 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 https://www.globalcloudteam.com/glossary/monkey-testing/ or software crashes on a given input or not. Monkey testing is usually implemented as random and automated unit testing. In software testing, monkey testing is a technique where the user tests the application or system by providing random inputs and checking the behavior, or seeing whether the application or system will crash.