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Both positive and negative testing play an important role. Positive testing ensures that the application does what it is implied for and performs each function as expected. Negative testing is opposite of positive testing. Negative testing discovers diverse approaches to make the application crash and handle the crash effortlessly. Example
Full positive testing: confirms that all desired behaviour is present in the system; Full negative testing: confirms that no unintended behaviour is present in the system. This level of testing can be difficult to achieve, since software systems are extremely complex, with hundreds of thousands of states and millions of transitions.
Test data are sets of inputs or information used to verify the correctness, performance, and reliability of software systems. Test data encompass various types, such as positive and negative scenarios, edge cases, and realistic user scenarios, and aims to exercise different aspects of the software to uncover bugs and validate its behavior.
[1] [2] For example, the happy path for a function validating credit card numbers would be where none of the validation rules raise an error, thus letting execution continue successfully to the end, generating a positive response. Process steps for a happy path are also used in the context of a use case. In contrast to the happy path, process ...
A negative test can relate to: Negative diagnostic test , a medical test in which the target parameter that was evaluated was not present Negative test variation, a software stress test designed to determine the response of the system outside of normal parameters
Then, a periodic test will assure that the device has not become unsafe since the POST. Safety-critical devices normally define a "safety interval", a period of time too short for injury to occur. The self test of the most critical functions normally is completed at least once per safety interval. The periodic test is normally a subset of the POST.
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