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Mock objects have the same interface as the real objects they mimic, allowing a client object to remain unaware of whether it is using a real object or a mock object. Many available mock object frameworks allow the programmer to specify which methods will be invoked on a mock object, in what order, what parameters will be passed to them, and what values will be returned.
Unit test framework including strict and loose mocks, auto-discovering of tests, suites, BDD-ish style notation, test protected against exceptions, "natural language" output, extensible reporter, learning mocks to discover actual values sent to a mock. CHEAT: Yes: 2012 [41] BSD: Header-only unit testing framework. Multi-platform.
[1] [2] When used to determine if a computer program should be subjected to further, more fine-grained testing, a smoke test may be called a pretest [5] or an intake test. [1] Alternatively, it is a set of tests run on each new build of a product to verify that the build is testable before the build is released into the hands of the test team ...
Unit is defined as a single behaviour exhibited by the system under test (SUT), usually corresponding to a requirement [definition needed].While it may imply that it is a function or a module (in procedural programming) or a method or a class (in object-oriented programming) it does not mean functions/methods, modules or classes always correspond to units.
The test string was written by noted anti-virus researchers Padgett Peterson and Paul Ducklin and engineered to consist of ASCII human-readable characters, easily created using a standard computer keyboard. [7] It makes use of self-modifying code to work around technical issues that this constraint imposes on the execution of the test string. [8]
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Mock objects differ in that they themselves contain test assertions that can make the test fail, for example, if the person's name and other data are not as expected. Fake and mock object methods that return data, ostensibly from a data store or user, can help the test process by always returning the same, realistic data that tests can rely upon.
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