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Software testability is the degree to which a software artifact (e.g. a software system, module, requirement, or design document) supports testing in a given test context. If the testability of an artifact is high, then finding faults in the system (if any) by means of testing is easier.
Falsifiability (or refutability) is a deductive standard of evaluation of scientific theories and hypotheses, introduced by the philosopher of science Karl Popper in his book The Logic of Scientific Discovery (1934). [B] A theory or hypothesis is falsifiable if it can be logically contradicted by an empirical test.
Agility in working software is an aggregation of seven architecturally sensitive attributes: debuggability, extensibility, portability, scalability, securability, testability and understandability. For databases reliability, availability, scalability and recoverability (RASR), is an important concept.
Testability is a primary aspect of science [1] and the scientific method. There are two components to testability: There are two components to testability: Falsifiability or defeasibility, which means that counterexamples to the hypothesis are logically possible.
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 most common method for delivering test data from chip inputs to internal circuits under test (CUTs, for short), and observing their outputs, is called scan-design. In scan design, registers ( flip-flops or latches) in the design are connected in one or more scan chains , which are used to gain access to internal nodes of the chip.
Testability is falsifiability; but there are degrees of testability: some theories are more testable, more exposed to refutation, than others; they take, as it were, greater risks. Confirming evidence should not count except when it is the result of a genuine test of the theory; and this means that it can be presented as a serious but ...
The condition/decision criterion does not guarantee the coverage of all conditions in the module because in many test cases, some conditions of a decision are masked by the other conditions. Using the modified condition/decision criterion, each condition must be shown to be able to act on the decision outcome by itself, everything else being ...