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A test suite often contains detailed instructions or goals for each collection of test cases and information on the system configuration to be used during testing. A group of test cases may also contain prerequisite states or steps and descriptions of the following tests.
Scenario testing is a software testing activity that uses scenarios: hypothetical stories to help the tester work through a complex problem or test system.The ideal scenario test is a credible, complex, compelling or motivating story; the outcome of which is easy to evaluate. [1]
Test model definition: on the result of requirements assessment, approach an own software model. Test data definition: on the basis of the defined own model, start keyword and main/complement data definition. Test preparation: intake test basis etc. Test design: analysis of test basis, test case/procedure design, test data design.
To find test cases that can cover an appropriate, but finite, number of paths, test criteria are needed to guide the selection. This technique was first proposed by Offutt and Abdurazik in the paper that started model-based testing. [3] Multiple techniques for test case generation have been developed and are surveyed by Rushby. [4]
Process steps for a happy path are also used in the context of a use case. In contrast to the happy path, process steps for alternate flow and exception flow may also be documented. [3] Happy path test is a well-defined test case using known input, which executes without exception and produces an expected output. [4]
This is an example of a partial oracle, which is a hybrid between specified test oracle and derived test oracle. A statistical oracle uses probabilistic characteristics, [ 18 ] for example with image analysis where a range of certainty and uncertainty is defined for the test oracle to pronounce a match or otherwise.
Specification-based testing aims to test the functionality of software according to the applicable requirements. [2] This level of testing usually requires thorough test cases to be provided to the tester, who then can simply verify that for a given input, the output value (or behavior), either "is" or "is not" the same as the expected value specified in the test case.
Thus, a combinatorial technique for picking test cases like all-pairs testing is a useful cost-benefit compromise that enables a significant reduction in the number of test cases without drastically compromising functional coverage. [5] More rigorously, if we assume that a test case has parameters given in a set {} = {,,...