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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 ...
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 .
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 ...
ISO/IEC/IEEE 29119 Software and systems engineering -- Software testing [1] is a series of five international standards for software testing.First developed in 2007 [2] and released in 2013, the standard "defines vocabulary, processes, documentation, techniques, and a process assessment model for testing that can be used within any software development lifecycle."
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 ...
The techniques used in white box testing are condition coverage, decision coverage, statement coverage, cyclomatic complexity. The main advantage of white box testing in database testing is that coding errors are detected, so internal bugs in the database can be eliminated. The limitation of white box testing is that SQL statements are not covered.
ISVV goes beyond "traditional" verification and validation techniques, applied by development teams. While the latter aims to ensure that the software performs well against the nominal requirements, ISVV is focused on non-functional requirements such as robustness and reliability, and on conditions that can lead the software to fail.
Solution-based diagnostics, that test for known failure modes by identifying if their known symptoms are detected. Black box, which is testing of a mechanism without knowing how it works, and merely focusing on the accuracy of output data based on a known input. White box, which uses knowledge of a mechanism's inner functions for direct testing.