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. The purpose of Monkey testing is to find the bugs and errors in the software application using experimental techniques. 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.
They do not have any clue if the provided inputs are valid or invalid. It is the simplest testing which does not require the tester to know about the characteristics or qualities of the software or of the test flow. It also finds out whether the system or application will work properly under such conditions or crash. After the program was completely initiated, there was a lesser amount of memory left than required to perform the test.
Types of Monkey Testing
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.
The smart monkey can be efficient when provided with the state model but it also becomes expensive in that case. It may run for a long time before the commencement of the test, which reproduces unnecessary bugs which may again be time consuming and irrelevant. The occurrence of unexpected bugs makes it more difficult to analyze and resolve the bugs.
ADVANTAGES AND DISADVANTAGES
The test input values provided in monkey testing are so random that it becomes very difficult to reproduce the bugs and errors. In case of a time crunch, if all the other test have been performed, the tester can opt for monkey testing that will allow quick fixing of the bugs. Monkey testing can be categorized into smart monkey tests or dumb monkey tests. 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 usually implemented as random, automated unit tests.
- The main purpose of the test is to find out errors and bugs in the software to ensure the complete development of the product.
- Monkey testing is done to ensure that the specifications given by the client are properly addressed in the software.
- This testing is adopted to complete the testing, in particular if there is a resource/time crunch.
- It may run for a long time before the commencement of the test, which reproduces unnecessary bugs which may again be time consuming and irrelevant.
- This testing works well in case of androids, desktops, web and other mobile applications.
- In some systems, monkey testing can go on for a long time before finding a bug.
The accuracy of monkey testing is very less and it doesn’t give always the correct result. It can be used to test an application for OSWAP issues where pre-compiled and random data can be used. So we can say that one could opt for this particular kind of test if they lack in time and have performed other required test. Also one needs to ensure that the application is highly stable and can be reproduced as it focuses on the crash of the entire system. This application is quite different from the MonkeyRunner tool, which controls the android device from exterior to the android code while U/I Application exerciser monkey runs inside the emulator. In an unintended way, it also allows the domain tester to judge the response of the program.
Disadvantages of Monkey Testing
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. Monkey Testing is also part of the standard testing tools for stress testing in Android Studio. 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.
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.
Monkey Testing vs Gorilla Testing
To make monkey testing more accurate, testers that are needed must have good technical knowledge of the domain. Monkey Testing is also included in Android Studio as part of the standard testing tools for stress testing. Monkey testing is an automated test, which is done without any specification in mind. The main purpose of the test is to find out errors and bugs monkey testing in the software to ensure the complete development of the product. 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 for testing in cases to imitate the activities of monkeys who are inserting random data.
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. The end user who uses any application or software is not expected to have the functional knowledge of the same. So by this testing, we can ensure the fulfillment of the needs of the user and decrease the probability of the awful breakdown of the software and system. Smart monkeys can help find unique bugs if set up with proper and accurate state model, quickly. A tester or a team of testers is assigned for the task, ensuring that they have complete knowledge about this software domain and its functionalities.
Types of Monkey 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.
So Steve Capps used Monkey program to enter random inputs to Macwrite and Macpaint. The Monkey functioned parallel to the other programs, data entry running in the system. This testing is done when the tester is the time deficit in order to write and execute the https://www.globalcloudteam.com/ function. Monkey Testing needs testers with very good domain and technical knowledge. Monkey Testing is the comparatively new testing type to perform testing. This testing is adopted to complete the testing, in particular if there is a resource/time crunch.
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.