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They are also called [2] API mocking tools, service virtualization tools, over the wire test doubles and tools for stubbing and mocking HTTP(S) and other protocols. [1] They enable component testing in isolation. [3] In alphabetical order by name (click on a column heading to sort by that column):
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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]
[7] [8] [9] Another variation of this type of test automation tool is for testing mobile applications. This is very useful given the number of different sizes, resolutions, and operating systems used on mobile phones. For this variation, a framework is used in order to instantiate actions on the mobile device and to gather results of the actions.
SoapUI is an open-source web service testing application for Simple Object Access Protocol (SOAP) and representational state transfers (REST). Its functionality covers web service inspection, invoking, development, simulation and mocking, functional testing, load and compliance testing.
However, if the test cases and their results are not recorded properly, the entire integration process will be more complicated and may prevent the testing team from achieving the goal of integration testing. In bottom-up testing, the lowest level components are tested first, and are then used to facilitate the testing of higher level components.
Google Test UI is a software tool for testing computer programs, and serves as a test runner. It employs a 'test binary', a compiled program responsible for executing tests and analyzing their results, to evaluate software functionality. It visually presents the testing progress through a progress bar and displays a list of identified issues or ...
Because the tool is implementing a dynamic testing method, it cannot cover 100% of the source code of the application and then, the application itself. The penetration tester should look at the coverage of the web application or of its attack surface to know if the tool was configured correctly or was able to understand the web application.