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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):
Mock objects have the same interface as the real objects they mimic, allowing a client object to remain unaware of whether it is using a real object or a mock object. Many available mock object frameworks allow the programmer to specify which methods will be invoked on a mock object, in what order, what parameters will be passed to them, and what values will be returned.
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]
Web testing tools Web browser based (model) Scriptable Scripting language Recorder Multiple domain Frames BugBug.io: Yes (Chromium-based) Yes JavaScript: Yes Yes Yes eggPlant Functional: Yes (IE, Firefox, Safari, Opera, Chrome) Yes SenseTalk: Yes iMacros: Yes (Firefox, Chrome, IE) Yes iMacro Script: Yes Yes Yes Katalon Studio: Yes
Test doubles are of a number of different types and varying complexities: Dummy – A dummy is the simplest form of a test double. It facilitates linker time substitution by providing a default return value where required. Stub – A stub adds simplistic logic to a dummy, providing different outputs.
An application programming interface API exposes services to other software components, which can query the API. The API implementation is in charge of computing the service and returning the result to the component that send the query. A part of web testing focuses on testing these web API implementations. GraphQL is a specific query and API ...
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A test double may be used to test part of the system that is ready for testing even if its dependencies are not. For example, in a system with modules Login, Home and User, suppose Login is ready for test, but the other two are not. The consumed functions of Home and User can be implemented as test doubles so that Login can be tested.
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