Monkey testing is usually implemented as random and automated unit testing. The randomness of monkey testing often makes the bugs found difficult or impossible to reproduce. 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 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. 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.
- We can say that as it is not always possible to regenerate the bugs, it becomes almost difficult and sometimes impossible for us to reproduce the same found bug.
- The smart monkey can be efficient when provided with the state model but it also becomes expensive in that case.
- Listening to the term Monkey Testing gives the vision of monkeys thumping on the keys of the keyboard and working as a computer expert, writing functions and other content.
- In this testing, there is no predefined strategy or algorithm and hence the testing works on tester’s gut and mood.
- As the MonkeyRunner tool is used to perform the framework level of testing and functional test, it can also be used to random testing test suites.
- The Input data that is used to test also generated randomly and keyed into the system.
- 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.
The impressive part is that this type of test gives the tester quicker results than that of its counterpart. The dumb monkey does not know the flow of work or the type of data being fed to the application or the system. In this process of testing the tests are chosen independently from the test domain and are performed depending upon the tester’s requirement. The term monkey testing was first seen in the book ‘The Art of Software Testing’ written by Glenford J. Myers in 1979. In this testing, there is no predefined strategy or algorithm and hence the testing works on tester’s gut and mood. 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.
Advantages
Monkey testing is a software testing technique in which the testing is performed on the system under test randomly. The Input data that is used to test also generated randomly and keyed into the system. The other difference can be seen in gorilla testing and monkey testing. Here the former is performed on limited features and modules to analyze their functionalities, monkey testing whereas the latter focuses on breaking down of a complete system to identify the bugs. Usually, the software testing that is performed is ad-hoc but monkey testing can also help the tester to unwind the burden under the stress testing condition. Also if the tester does not have much knowledge about the application, this testing can rescue.
Monkey Testing can be performed without highly skilled testers because it is randomized testing. This situation may get changed with coming era of 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 idea about it. We can say that as it is not always possible to regenerate the bugs, it becomes almost difficult and sometimes impossible for us to reproduce the same found bug. It is very time-consuming work that requires a lot of effort, therefore we cannot recommend Monkey testing in the initial stages of the testing. As the MonkeyRunner tool is used to perform the framework level of testing and functional test, it can also be used to random testing test suites.
Difference Between Monkey Testing and Gorilla Testing
The tester knows well about the usage of the program and also the way other users handle it. In this type, the tester is more focused on breaking an application and when they find an error, they are aware enough to report the bug. The smart monkey test is aware of the locations of test and is well aware of the page they will be redirected to. This test can catch the bugs that are harder to identify but are critically important too.
But as the test pattern is unplanned the software may come under stress and will affect the server. The deep-rooted randomness can sometimes save the system from complete breakdown by identifying the major bugs. Monkey testing caters to the needs of an organization in chasing the out-of-the-box errors. Each of these focuses on different aspects of the programs and clears bugs from that particular genre.
DUMB MONKEY TESTING
It can also be used to develop the system and user events in the quasi random stream. The time and effort that is required are comparatively lesser in this kind of testing.
This testing works well in case of androids, desktops, web and other mobile applications. It is implemented when the defects are not detected at regular intervals. It is so random that the reproduction of the defect is almost impossible. As the scenarios that are tested are adhoc, system might be under stress so that we can also check for the server responses.
Infinite Monkey Theorem
This testing is so random that the tester may not be able to reproduce the error/defect. Later when the other test is done it can be opted to find the other issues such as the software and hardware issues, fault lines and memory leaks which are difficult to find in normal testing. Monkey testing evidently, has differences with regard to the working of a monkey as it can completely analyze the function and will https://www.globalcloudteam.com/ not do anything improper or irrelevant with the system. The tester can also control and access to the Android device by using an application program interface provided by the tool. The tester can easily install and execute an android program, send it data files and store them in the computer using the Python program. There are many tools which make it possible to perform the automated test efficiently.
The intrinsic randomness of monkey testing also makes it a good way to find major bugs that can break the entire system. The setup of monkey testing is easy, therefore good for any application. Smart monkeys, if properly set up with an accurate state model, can be really good at finding various kinds of bugs. They are developed to generate random data so that all the faults and flaws can be reported in the application. The generation of monkey testing tools requires some good amount of efforts but once they are done, they perform efficiently with automation. Dumb monkey testing technique or ignorant monkeys, as the name specifies, inculcates a tester who has no knowledge of the application, its features, functions, working behavior or bugs.
Monkey Testing
Monkey Testing needs testers with very good domain and technical expertise. It has a great advantage that it can be accessed by anyone, one who may have knowledge of the file or who do not. Evidently, they will not be able to understand the appropriateness of the result, but still, they will not face any problem to perform it. The testing is done in the system where the errors are not identified at regular intervals. Listening to the term Monkey Testing gives the vision of monkeys thumping on the keys of the keyboard and working as a computer expert, writing functions and other content.
So Macwrite and MacPaint used buffers those were quite larger than the size of the screen of the desktop. So it became essential to create some testing method that acquired lesser memory. Monkey testing is a crucial testing method that is done to authenticate the functionality of the product application. Monkey testing is done to ensure that the specifications given by the client are properly addressed in the software.
Monkey testing
This is also true in case of these techniques, the brilliant monkey testing is an advancement in the smart monkey testing technique. In monkey testing, the tester performs tests randomly with random data reproducing defects is almost impossible. Monkey testing is a software testing technique in which the operator provides the software with some random inputs in order to analyze the behavior of the software.
