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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]
A test case usually contains a single step or a sequence of steps to test the correct behavior/functionality and features of an application. An expected result or expected outcome is usually given. Additional information that may be included: [7] Test case ID - A unique identifier for the test case. Description/summary - The test case objective.
Entire test suites or test cases exposing real bugs can be automatically generated by software using model checking or symbolic execution.Model checking can ensure all the paths of a simple program are exercised, while symbolic execution can detect bugs and generate a test case that will expose the bug when the software is run using this test case.
The minimum number of test cases is the number of classes in the classification with the most containing classes. In the second step, test cases are composed by selecting exactly one class from every classification of the classification tree. The selection of test cases originally [3] was a manual task to be performed by the test engineer.
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. Test cases are built around specifications and requirements, i.e., what the application is ...
A test case graph illustrates all the necessary independent paths (test cases) to cover all isolated conditions. Conditions are represented by nodes, and condition values (situations) by edges. An edge addresses all program situations. Each situation is connected to one preceding and successive condition.
Balanced test cases: This technique ensures that test cases are well-balanced, making it easier to isolate defects and assess performance. Cost savings : It offers a significant cost advantage over pair-wise testing, making it an economical choice for testing large-scale software systems.
Gray-box testing techniques are: Matrix Testing: states the status report of the project. Regression testing: it implies rerunning of the test cases if new changes are made. Pattern Testing: verify the good application for its design or architecture and patterns. Orthogonal array testing: used as subset of all possible combination. [10]