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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]
Integration testing, also called integration and testing, abbreviated I&T, is a form of software testing in which multiple parts of a software system are tested as a group. Integration testing describes tests that are run at the integration-level to contrast testing at the unit or system level.
A collection of tools that API providers use to define APIs, for instance using the OpenAPI or RAML specifications, generate API documentation, govern API usage through access and usage policies for APIs, test and debug the execution of API, including security testing and automated generation of tests and test suites, deploy APIs into production, staging, and quality assurance environments ...
A diagram from 1978 proposing the expansion of the idea of the API to become a general programming interface, beyond application programs alone [9] The term API initially described an interface only for end-user-facing programs, known as application programs. This origin is still reflected in the name "application programming interface."
An ICD is the umbrella document over the system interfaces; examples of what these interface specifications should describe include: The inputs and outputs of a single system, documented in individual SIRS (Software Interface Requirements Specifications) and HIRS (Hardware Interface Requirements Specifications) documents, would fall under "The Wikipedia Interface Control Document".
An example of a popular web API is the Astronomy Picture of the Day API operated by the American space agency NASA. It is a server-side API used to retrieve photographs of space or other images of interest to astronomers, and metadata about the images. According to the API documentation, [15] the API has one endpoint:
Sketch of flow diagram for continuous integration. Continuous integration (CI) is the practice of integrating source code changes frequently and ensuring that the integrated codebase is in a workable state. Typically, developers merge changes to an integration branch, and an automated system builds and tests the software system. [1]
Enterprise Application Integration is related to middleware technologies such as message-oriented middleware , and data representation technologies such as XML or JSON. Other EAI technologies involve using web services as part of service-oriented architecture as a means of integration. Enterprise Application Integration tends to be data centric.