In the last tutorial, we discussed Monkey testing. We also discussed pros, cons & types of Monkey testing.
But there are different ways to test software that monkeys can use, depending on what they want to do and what the software needs. Here are some commonly used types:
Random Input Testing:
Random inputs such as keystrokes, mouse clicks, or touch events are generated to simulate user interactions. The goal is to watch how the software reacts to unexpected things and find out if it might crash, freeze, or behave differently than expected.
Random Navigation Testing:
In this methodology, the tester randomly navigates through various screens, menus, or modules of the software without adhering to a predetermined route. The purpose is to explore various functionalities, combinations, and transitions in order to identify any navigation-related issues, missing links, or unexpected behavior.
Random Data Testing:
Random data is injected into input fields, forms, or data entry points to test the software’s ability to handle diverse data types, lengths, or values. The goal is to find errors in data validation or processing, such as buffer overflows, truncation issues, or wrong data conversions.
Stress testing involves exposing the software system to a heavy workload, large data volumes, or other extreme circumstances to evaluate its performance. This may entail the generation of a significant number of concurrent requests, substantial data inputs, or resource-intensive operations to evaluate the software’s capacity to handle the load and its ability to gracefully recover from stress-induced situations.
Monkey testing can also be used to find security vulnerabilities by testing inputs, network interactions, or system configurations randomly. This strategy aims to uncover potential flaws, such as insertion attacks, authentication evasions, or unauthorized access, by imagining various attack scenarios.
In the context of configuration testing, a variety of configurations and settings of the software are randomly altered to observe the system’s behavior under varying conditions. This encompasses altering environmental parameters, system variables, or software configurations to evaluate its adaptability and robustness.
This form of monkey testing involves the execution of the software on diverse platforms, operating systems, or hardware configurations in an arbitrary manner. The aim is to uncover compatibility issues, such as software malfunctions, interface ambiguities, or performance variations, in diverse environments.
It’s important to note that the types of monkey testing that are chosen and used depend on the software’s nature, goals, and areas of focus for testing. These techniques may be used in combination to achieve comprehensive test coverage and uncover a wide range of potential issues.