Let me explain gorilla testing to you in an informal and detailed manner. So, imagine you have a software system that you want to test to make sure it works correctly and doesn’t have any bugs. One way to do this is through a technique called gorilla testing.
Gorilla testing is basically a manual testing procedure where you repeatedly apply different inputs on specific modules of the software system. The idea is to test these modules with selected test cases to ensure they are functioning properly. It’s called gorilla testing because, just like a gorilla, you’re going to be pounding on the software to see if it can handle the pressure.
Now, the reason why gorilla testing is important is because it helps uncover bugs or issues that may not have been found during other testing methods. It’s like a last-minute check to make sure everything is working as it should.
To give you an example, let’s say you’re testing a messaging app. You would apply various inputs, such as sending messages, attaching files, or even using emojis, to the messaging module of the app. By doing this, you can see if the messages are being sent correctly, if the files are being attached properly, and if the emojis are being displayed correctly.
Gorilla testing is different from other testing methods because it focuses on specific modules rather than the entire software system. This allows you to dive deep into the functionality of each module and ensure they are working as expected.
It’s worth mentioning that gorilla testing is a manual process, which means it requires human intervention to apply the inputs and verify the outputs. This can be time-consuming and requires a lot of attention to detail. However, it can be very effective in catching any last-minute bugs or issues before the software is released to the users.
Gorilla testing is a software testing technique where you repeatedly apply inputs on specific modules of a software system to ensure they are functioning correctly. It’s a manual process that helps uncover bugs or issues that may have been missed during other testing methods. So, just like a gorilla, you’re pounding on the software to make sure it can handle the pressure.