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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]
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The process of joining is called integration. [3] As an example, consider a weather sensor that offers an API. When a certain message is transmitted to the sensor, it will detect the current weather conditions and reply with a weather report. The message that activates the sensor is an API call, and the weather report is an API response. [7]
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.
LoadRunner is a software testing tool from OpenText. It is used to test applications, measuring system behavior and performance under load. LoadRunner can simulate millions of users concurrently using application software, recording and later analyzing the performance of key components of the application whilst under load.
System integration testing (SIT) involves the overall testing of a complete system of many subsystem components or elements. 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.
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.
Integration testing is any type of software testing that seeks to verify the interfaces between components against a software design. Software components may be integrated in an iterative way or all together ("big bang"). Normally the former is considered a better practice since it allows interface issues to be located more quickly and fixed.