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Test coverage refers to the percentage of software requirements that are tested by black-box testing for a system or application. [7] This is in contrast with code coverage, which examines the inner workings of a program and measures the degree to which the source code of a program is executed when a test suite is run. [8]
The term "black box" is used because the actual program being executed is not examined. In computing in general, a black box program is one where the user cannot see the inner workings (perhaps because it is a closed source program) or one which has no side effects and the function of which need not be examined, a routine suitable for re-use.
XAI counters the "black box" tendency of machine learning, where even the AI's designers cannot explain why it arrived at a specific decision. [6] [7] XAI hopes to help users of AI-powered systems perform more effectively by improving their understanding of how those systems reason. [8] XAI may be an implementation of the social right to ...
Gray-box testing is beneficial because it takes the straightforward technique of black-box testing and combines it with the code-targeted systems in white-box testing. Gray-box testing is based on requirement test case generation because it presents all the conditions before the program is tested by using the assertion method.
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.
A black-box fuzzer [37] [33] treats the program as a black box and is unaware of internal program structure. For instance, a random testing tool that generates inputs at random is considered a blackbox fuzzer. Hence, a blackbox fuzzer can execute several hundred inputs per second, can be easily parallelized, and can scale to programs of ...
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Social constructivists "opening" the black box of an electric car would find Tesla and lithium mining. Another example of blackboxing in modern society is Uber's pricing system. Users of the ride share app don't know what causes prices to appear as they are, they are just expected to assume that there is a valid reason for any given price.