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A functional test consists of a set of Functional Test Cases (FTC). FTC are system tests used to verify that FR are satisfied by the system. Black-box testing is the software analog to FTC. At the end of the system development, a functional test verifies that the requirements of the system are met.
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 ]
Software testing can often be divided into white-box and black-box. These two approaches are used to describe the point of view that the tester takes when designing test cases. A hybrid approach called grey-box that includes aspects of both boxes may also be applied to software testing methodology. [31] [32]
The Product Life Cycle Theory is an economic theory that was developed by Raymond Vernon in response to the failure of the Heckscher–Ohlin model to explain the observed pattern of international trade. The theory suggests that early in a product's life-cycle all the parts and labor associated with that product come from the area where it was ...
Orthogonal array testing is a systematic and statistically-driven black-box testing technique employed in the field of software testing. [ 1 ] [ 2 ] This method is particularly valuable in scenarios where the number of inputs to a system is substantial enough to make exhaustive testing impractical.
To find test cases that can cover an appropriate, but finite, number of paths, test criteria are needed to guide the selection. This technique was first proposed by Offutt and Abdurazik in the paper that started model-based testing. [3] Multiple techniques for test case generation have been developed and are surveyed by Rushby. [4]
The open systems theory is the foundation of black box theory. Both have focus on input and output flows, representing exchanges with the surroundings. In systems theory, the black box is an abstraction representing a class of concrete open system which can be viewed solely in terms of its stimuli inputs and output reactions:
A diagram describing the different methods for identifying systems. In the case of a "white box" we clearly see the structure of the system, and in a "black box" we know nothing about it except how it reacts to input. An intermediate state is a "gray box" state in which our knowledge of the system structure is incomplete.