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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).
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.
Loose coupling in broader distributed system design is achieved by the use of transactions, queues provided by message-oriented middleware, and interoperability standards. [ 2 ] Four types of autonomy, which promote loose coupling, are: reference autonomy , time autonomy , format autonomy , and platform autonomy .
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.
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]
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.
Test drivers and test stubs are both instrumental in software testing, but they serve distinct roles within a test harness. Test drivers are typically an active component and control or call the system under test without further inputs after they are initialised, stubs on the other hand are usually passive components that only receive data and ...
In computer science, all-pairs testing or pairwise testing is a combinatorial method of software testing that, for each pair of input parameters to a system (typically, a software algorithm), tests all possible discrete combinations of those parameters.