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While code integrity is usually achieved by unit testing the source code to reach high code coverage, it is definitely not the only way, or the best way, to achieve code integrity. In fact, code coverage, a popular metric to measure the thoroughness of unit tests, is known to have a limited correlation with the measure of real code integrity. [2]
Test in the small: a test that checks a single function or class ; Test in the large: a test that checks a group of classes, such as Module test (a single module) Integration test (more than one module) System test (the entire system) Acceptance test: a formal test defined to check acceptance criteria for a software Functional test
An integration competency center (ICC), sometimes referred to as an integration center of excellence (COE), is a shared service function providing methodical data integration, system integration, or enterprise application integration within organizations, particularly large corporations and public sector institutions.
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.
From a testing perspective: Fault – wrong or missing function in the code. Failure – the manifestation of a fault during execution. The software was not effective. It does not do "what" it is supposed to do. Malfunction – according to its specification the system does not meet its specified functionality.
[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 ...
API testing is a type of software testing that involves testing application programming interfaces (APIs) directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security. [1] Since APIs lack a GUI, API testing is performed at the message layer. [2]
Thus TPT is an integrated tool to be used in all testing phases of the development like unit testing, integration testing, system testing and regression testing. For analysis and measurement of code coverage , TPT can interact with coverage tools like Testwell CTC++ for C-code .