Gorilla testing comes under a manual testing technique in which a tester would test a module repeatedly to test the robustness of the module. Here the developer and tester join hand in hand to test a particular module in all aspects. As monkey testing follows such a random technique, the tester might find it hard to reproduce the bug found during testing. To make monkey testing more accurate, testers that are needed must have good technical knowledge of the domain.
Monkey testing has similarities to fuzz testing with the major difference being the repetitive and random actions. Monkey tests are done randomly, verifying both valid and invalid scenarios. 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.
Advantages of Monkey Testing
In this testing, there is no predefined strategy or algorithm and hence the testing works on tester’s gut and mood. It finds fewer bugs than smart testing but may detect a bug which is hard to find. 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.
In this tutorial, we have learned that Monkey Testing is a type of software testing that is relatively new and popular among software test engineers and very beneficial in some testing areas. In monkey testing, the identified bugs can be out of scope or out of business needs. Evaluate the unexpected issues identified during the monkey testing makes this process very difficult and time-consuming. New bugs can be identified during the monkey tests; they would not have been discovered throughout the traditional testing. Individual can quickly classify bugs with the help of this testing, which may significantly impact the software’s efficiency and performance. To test the application for OWASP issues, we can use the pre-compiled and random data.
Difference between Monkey testing and Adhoc testing
The tester is asked to test the application intuitively and enter random data which the tester feels is appropriate. Hence, we can conclude that Monkey testing is different from other types of testing procedures, which serve different purposes. We can select the appropriate type of testing as per our requirement, whether it is monkey testing, gorilla testing, and fuzz testing. In other words, we can say that brilliant monkey testing is one step ahead of smart monkey testing. Monkey testing and Gorilla testing are terms that we come across in the testing cycle in software development. Both are similar yet distinct techniques to test applications and have their own advantages and use cases.
- Chaos Monkey Tutorial A Step-by-Step Guide to Creating Failure on AWS This chapter will provide a step-by-step guide for setting up and using Chaos Monkey with AWS.
- Testers can discover new kinds of bugs, as they think from the user’s perspective and have full authority to test the system according to their own understanding.
- This ensures that the application works as expected under valid conditions and handles invalid data properly.
- The time and energy devoted in monkey testing are comparatively less than actual test efforts.
- Some others believe that the name comes from the classic Mac OS application “The Monkey” developed by Steve Capps prior to 1983.
- 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.
It is always advisable to check if an application is reliable and robust enough to handle more load on itself. Although monkey testing isn’t as popular because of the time it takes to catch bugs, it still is used in some cases as required. In this type of monkey testing, the testers focus more on breaking the application rather than finding bugs, as they are aware enough to report those bugs. In monkey testing, when the tester has a deep understanding of the workflow of the software, it is known as smart monkey testing. The tester also known as the dumb monkey in this testing has no idea about the flow of work or the required data that needs to be fed to the application in an ideal environment.
Types of Monkey Testing:
It used journaling hooks to feed random events into Mac programs, and was used to test for bugs in MacPaint. monkey testing is similar to Adhoc Testing and can be considered a type of adhoc testing. When the coding is complete, the adhoc testing is done by the developer or tester based on their knowledge of the software.
They know exactly the product’s functionality.They give the valid inputs to perform testing. Smart https://globalcloudteam.com/ enables testers to track the behaviour of the system when they know which data is valid and which is not. QA specialists can see the expected result in case of inputting valid data and examine how the system handles the invalid bone.
In 2010 Netflix announced the existence and success of their custom resiliency tool called Chaos Monkey.
It is an instinctive test that is performed without any precise test in mind.
These type of Monkey testers perform testing as per client’s actions. Monkey tester can specify percentages of bugs to be occurred.They carry testing based on client’s perspective.It’s an advanced interpretation of Smart Monkey Testing. In smart monkey testing, the test engineer is focused on surpassing the application, and if they identify an error, they are smart enough to report a bug.
Smart Monkey Testing
They do not have any idea about their inputs whether it’s valid or invalid. It’s very difficult and time consuming to analyze the unexpected issues found during the monkey testing. The test carried out during monkey testing is so random that it is either not possible or very difficult to recreate any bug. Monkey testing can be performed for desktop applications, web applications as well as mobile applications.
Smart monkey testing enables testers to track the behavior of the system when they know which data is valid and which is not. QA specialists can see the expected result in case of inputting the valid data and examine how the system handles the invalid one. In Dumb Monkey Testing the Test Manager / Test Lead assigns a tester who is not aware of the module / application to test the product.
The Unit in Unit Testing
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. Hence, it should be clearly remembered that the Monkey testing is very much different from other types of testing techniques that serve different purposes. Allows Checking Of Server Response — in an indirect manner, Monkey Testing allows the domain expert to judge the server response to the software. Since, the scenarios are improvised and unplanned the software comes under stress and that effects the server response as well. No idea about the type of input, being fed to the system, i.e. valid or invalid.