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White-box testing (also known as clear box testing, glass box testing, transparent box testing, and structural testing) is a method of software testing that tests internal structures or workings of an application, as opposed to its functionality (i.e. black-box testing). In white-box testing, an internal perspective of the system is used to ...
In software engineering, basis path testing, or structured testing, [1] is a white box method for designing test cases. The method analyzes the control-flow graph of a program to find a set of linearly independent paths of execution .
A white box (or glass box, clear box, or open box) is a subsystem whose internals can be viewed but usually not altered. [1] The term is used in systems engineering , software engineering , and in intelligent user interface design, [ 2 ] [ 3 ] where it is closely related to recent interest in explainable artificial intelligence .
One common testing strategy, espoused for example by the NIST Structured Testing methodology, is to use the cyclomatic complexity of a module to determine the number of white-box tests that are required to obtain sufficient coverage of the module. In almost all cases, according to such a methodology, a module should have at least as many tests ...
White-box testing (also known as clear box testing, glass box testing, transparent box testing, and structural testing) verifies the internal structures or workings of a program, as opposed to the functionality exposed to the end-user. In white-box testing, an internal perspective of the system (the source code), as well as programming skills ...
The tester chooses inputs to exercise paths through the code and determine the appropriate outputs. This is analogous to testing nodes in a circuit, e.g. in-circuit testing (ICT). While white-box testing can be applied at the unit, integration and system levels of the software testing process, it is usually done at the unit level. It can test ...
[1] [2] Many different metrics can be used to calculate test coverage. Some of the most basic are the percentage of program subroutines and the percentage of program statements called during execution of the test suite. Code coverage was among the first methods invented for systematic software testing.
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. These conditions are collectively called the RIP model. [8] Weak mutation testing (or weak mutation coverage) requires that only the first and second conditions are satisfied.