Monkey testing, also known as fuzz testing, is a type of software testing where random types of input are used to determine the robustness of an application or system. The idea is that random input, similar to a monkey hitting keys at random on a typewriter, will uncover unexpected exceptions and unhandled errors in software.
It is a black box testing technique which requires no knowledge of programming, code structure, or the internal structure of the application being tested. Random input combinations and boundary cases are generated in order to uncover potential vulnerabilities and bugs introduced in the development process.
The purpose of monkey testing is to provide developers with feedback on how their application behaves when presented with unexpected inputs. This helps to identify and fix problems before an application is released for production.
What is Monkey and Monkey runner in Android?
Monkey and Monkey Runner are tools used in Android application testing that help developers to test the performance, features and functionality of their applications across a range of Android devices.
Monkey is a command-line tool that runs a random series of user interface events within an application. It can be used to stress test and benchmark an application’s reliability, stability, and performance.
Monkey runner on the other hand is a Python based script tool that complements Monkey. It provides the same functions as Monkey, but the script is written in Python code, making it easier to create customized automated test cases.
Monkey runner also adds remote App control capability, allowing the user to send commands and events to the device over a wireless connection. This is especially useful for testing applications on multiple devices simultaneously.
How do you run a Monkey?
Running a monkey requires some specific steps and precautions. First, ensure the safety of both you and the animal by providing appropriate housing, removal of hazardous items and materials, and regular veterinary exams.
Next, provide appropriate nutrition and exercise. Feeding a healthy diet and offering recreational activities such as climbing, descending, and swinging will ensure a healthy and active lifestyle for your monkey.
After building a bond, you can begin working on basic commands and instructions such as sitting, staying and responding to verbal cues. Make sure to keep training and communication positive and reward desired behaviors with treats or praise.
Finally, create and enforce consistent rules and limits to ensure you both understand expectations. Regularly interacting and providing enrichment activities will ensure the mental and physical health of your monkey and give you the skills you need to keep running your monkey.
What is a monkey tool used for?
A monkey tool is a type of device that is generally used to assist in outdoor activities such as hunting and fishing. It is usually composed of three parts: a handle, a striker, and a knob at the top.
The handle is usually made of wood, while the striker and knob are usually made of metal. The purpose of the monkey tool is to provide leverage and make it easier to strike items such as wood, rocks, and ice.
It can also provide a secure grip on items such as wet fish, making it easier to hold onto them. In addition, it can be used to start campfires and can even be used to chop and cut certain materials.
All in all, a monkey tool is an incredibly versatile tool that can come in handy in a variety of activities.
What is Monkey command?
Monkey Command is an open-source automation tool that allows developers to automate the testing process for mobile applications. It is designed to reduce the time and cost associated with manual testing by providing a test automation framework that allows developers to quickly record actions, generate tests scripts, and execute tests without manual coding.
Monkey Command is powered by the open-source libraries of Appium and Calabash, providing a powerful and extensible framework for mobile application testing. It allows developers to record actions on a mobile device, create scripts to test mobile applications, and execute the tests across multiple mobile devices and platforms.
Monkey Command comes with a script editor, command line interface, test result visualization, and analytics. Monkey Command also allows for integration with other open source tools and technologies, such as Jenkins, Cucumber, and Gherkin.
How do I run monkey test on Android?
Running a monkey test on Android requires the use of the command line tool ‘adb’. ADB stands for Android Application Debugging Bridge and is used to facilitate communication between an Android device and a computer.
In order to successfully run a monkey test on Android, you will need to connect the Android device to your computer via a USB cable. Once connected, you should open up a terminal/command window on your computer and change directories to the platform-tools/ directory.
Once in the platform-tools/ directory you will use the ‘adb shell’ command. After executing this command, you should now have access to the Android device’s terminal.
On the device terminal you will now use the ‘monkey’ command to start the monkey test. This command takes some arguments, such as the number of ‘events’ and the package name. The package name identifies the app that is to be tested, and can be found in the app’s description in the Google Play Store.
To start the monkey testing, you would execute the command:
adb shell monkey -p [package-name] -v [number of events]
A successful monkey test will result in log entries providing information about errors and exceptions that were encountered during the test. These errors and exceptions will then require investigation, with the goal of eliminating the cause and thus improving the stability of the app.
You can use the ‘adb logcat’ command to view these logs and investigate any issues. It is important to note that the logcat command is not compatible with Macs, so you may need to use a Linux computer to get the most out of log reading.
Once you have completed your monkey test, you should use the ‘adb uninstall’ command to uninstall the app off the Android device. This is important to make sure the device is in its original state for future tests or development activities.
What is Monkey and gorilla testing?
Monkey and Gorilla testing is a type of software testing used to evaluate application behavior, stability and robustness under extreme conditions. Monkey testing involves randomly generating input for an application, while gorilla testing involves systematically varying the input in search of errors.
The phrase “Monkey Testing” is derived from the idea that a monkey could randomly press buttons on a computer keyboard and cause the system to fail. The phrase “Gorilla Testing” is derived from the notion of slowly increasing the complexity of the test or slowly working your way up the test environment until it is stressed to the breaking point.
Monkey testing is an effective way to test the robustness of an application as it randomly exercises the system with no predetermined tests. The objective is to find unexpected errors in an application by running the application with unpredictable input.
This is usually done through automated scripts, which provide hundreds of random inputs to the application. If the system fails after any of these inputs, then it is an indication that there are certain areas that need further testing.
Gorilla testing, on the other hand, is a more scientific approach where random tests are replaced with systematic test scripts. The idea is to increase the complexity of the tests slowly. This is done by creating a specific set of tests that ensure that all parameters and boundary conditions are checked.
With this approach, specific scenarios can be checked to identify any bugs or areas of improvement in the application.
In conclusion, Monkey and Gorilla testing are both effective methods of software testing. They are used to test the robustness and stability of an application. Monkey testing involves randomly generating input while Gorilla testing involves systematically varying the input.
Both of these approaches can be used to find unexpected errors and understand how an application behaves under extreme conditions.
What is difference between smoke sanity and monkey testing?
Smoke testing and monkey testing are two very different types of software testing. Smoke testing is typically done when a software application is first being tested, and is applied to identify major functional issues with the software.
Smoke tests are usually composed of minimal test cases that at least verify major functional areas of the software. Smoke tests typically don’t check minor details, but will highlight major defects.
Monkey testing, on the other hand, is typically applied after a software application has been released for a longer period of time. Monkey testing typically involves randomly inputting data in the application, to identify any unexpected errors or system crashes that may arise.
The idea is to “break” the software, which may not have been discovered via smoke testing or other testing techniques. Monkey tests are also based on the idea of “trying the most unexpected”, meaning the data entered via the monkey test is normally very different than the data typically used by the application’s users.
By doing this, unexpected errors can be discovered that may never have been found with any other type of testing.
What is scenario testing with example?
Scenario testing is a type of software testing used to evaluate an application by running several test cases based on user scenarios. Scenario testing is used to measure how well the application handles different usage and environmental conditions.
Scenario testing is closely related to acceptance testing but may be more focused on the external target audience rather than the stakeholders of the project. It is also closely related to use case testing and exploratory testing.
In scenario testing, the focus is on the goal of the user rather than the exact steps the user takes to reach the goal.
For example, a scenario test for a grocery shopping app would involve testing that the app is able to handle a wide variety of use situations. The test would cover situations such as multiple baskets of items, a user trying to buy items not in stock, a user trying to add items from multiple stores, and a user looking to use different payment methods.
The test should also cover edge cases such as a user trying to buy an item but there being no payment options available.