Not every user uses an application in a similar way; each user has its own mind with a different type of scenarios. Thus to cover every scenario a particular conventional way of testing is not sufficient.
So, What’s the Best Approach?
Monkey Testing Indeed!!!
Now, consider a scenario where a monkey is given a computer system with the keyboard. We are not expecting the Monkey to use the system as software professional in this condition. Monkey will start hitting the keyboard keys many numbers of times and may input any combination of characters without knowing the correct input which should be given to the system application. Testers also perform monkey testing in the same way without any specific plan.
While doing a monkey testing similar task is executed by the tester. Manual testers gets the power with this technique for testing and boosting the application in their own style, by providing invalid inputs to the system which may be very large or may contain special symbols or characters and any such combinations which may crashes the system, so as to make the application more robust and stable for future.
One more thing to be noticed about monkey testing is that it’s a new approach of testing announced in the market and do not have any proper recognition in the industry regarding their processes or tools but maybe in upcoming time, it will start getting more importance. In order to crack the system, we can use an automated technique to do monkey testing. We can also use these testing concepts in stress testing to break the system by adding invalid inputs to the system. It is more useful when normal testing had completed.
Why we do Monkey Testing?
Now the question is that if we have techniques and procedures which are predefined for testing and we can thoroughly test using those techniques and procedures, then why we do testing. The answer is that we can’t expect all the users to use the application in a very well defined process and disciplined way. There may be some users present who can use an application in an abnormal way like the dumb monkey, leading to breakage or crashing of the system. So for making the application more robust and stable in future, we need to perform monkey testing and break the system, before it goes live in real time environment.
Monkey testing is divided into three categories:
1. Dumb Monkey:
The term “Dumb” is used for the testers. Here the testers do not have any knowledge of the product or idea of the application to test, no idea for User Interface and functionalities whether it’s valid or invalid, in the application. The fully completed application for the test is all new to them. But testers who are doing “Dumb testing” are also capable of finding hardware failures or the environment. They are also called as ‘ignorant monkeys’ because of these factors.
2. Smart Monkey:
Smart monkey testing is done to make sure that everything is working fine as testers are doing smart testing and they are having a good knowledge of the applications as per the expectation. They know exactly the functionality of the product. Testers should have knowledge of valid and invalid inputs in this condition and they utilize this information to break the system either manually or through load, stress or performance testing. Testers should be smart enough to reproduce and report the bug if they found an error and they should be more focused on breaking or crashing the application.
3. Brilliant Monkey:
Brilliant Monkey is the last, but not the least effective, type of monkey testing. Here the name “Brilliant” is used for the testers. This kind of testing is one Level up advance from smart testing. This testing not only checks that the functionality of an application is validated by giving valid input but also focus at finding bugs and testers are sharp enough to report that bug if it is found during Brilliant monkey testing which ensures that testing is done as per the perspective of the end user.
We, at BugRaptors, while performing monkey testing we are also implementing thoughts to make sure that we can manage required tasks in Real-World scenarios. We are trained in tools, knowledge, and skills to understand and boost the power of manual testing and ensure better performance of the application.