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Logical coupling (or evolutionary coupling or change coupling) analysis exploits the release history of a software system to find change patterns among modules or classes: e.g., entities that are likely to be changed together or sequences of changes (a change in a class A is always followed by a change in a class B).
The single-responsibility principle (SRP) is a computer programming principle that states that "A module should be responsible to one, and only one, actor." [1] The term actor refers to a group (consisting of one or more stakeholders or users) that requires a change in the module.
Mutation testing is based on two hypotheses. The first is the competent programmer hypothesis. This hypothesis states that competent programmers write programs that are close to being correct. [1] "Close" is intended to be based on behavior, not syntax. The second hypothesis is called the coupling effect.
System testing can detect defects in the system as a whole. [citation needed] [1] System testing can verify the design, the behavior and even the believed expectations of the customer. It is also intended to test up to and beyond the bounds of specified software and hardware requirements. [citation needed]
Loose coupling occurs when the dependent class contains a pointer only to an interface, which can then be implemented by one or many concrete classes. This is known as dependency inversion . The dependent class's dependency is to a "contract" specified by the interface; a defined list of methods and/or properties that implementing classes must ...
Setup: Put the Unit Under Test (UUT) or the overall test system in the state needed to run the test. Execution: Trigger/drive the UUT to perform the target behavior and capture all output, such as return values and output parameters. This step is usually very simple. Validation: Ensure the results of the test are correct.
The system under test may be composed of electromechanical or computer hardware, or software, or hardware with embedded software, or hardware/software with human-in-the-loop testing. SIT is typically performed on a larger integrated system of components and subassemblies that have previously undergone subsystem testing .
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.