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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 ...
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 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.
Test preparation: intake test basis etc. Test design: analysis of test basis, test case/procedure design, test data design. Manual test execution: manual execution of the test cases using keyword documentation as execution guideline. Automation of test execution: creation of automated script that perform actions according to the keyword ...
A test must reach the mutated statement. Test input data should infect the program state by causing different program states for the mutant and the original program. For example, a test with a = 1 and b = 0 would do this. The incorrect program state (the value of 'c') must propagate to the program's output and be checked by the test.
Equivalence partitioning or equivalence class partitioning (ECP) [1] is a software testing technique that divides the input data of a software unit into partitions of equivalent data from which test cases can be derived. In principle, test cases are designed to cover each partition at least once. This technique tries to define test cases that ...