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The tools listed here support emulating [1] or simulating APIs and software systems. 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]
Parasoft SOAtest is a testing and analysis tool suite for testing and validating APIs and API-driven applications (e.g., cloud, mobile apps, ...
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.
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]
Intelligence: Security warnings, API repository search, workspaces, reporting, API governance; Postman v11 was released in May 2024. The update includes AI-powered features to help developers with API test generation, documentation, debugging, and data visualization. [18] V11 also enables more users to share API collections with external partners.
[3] [4] [5] Other similar tools are called API simulators, API mocking tools, over the wire test doubles. Service virtualization emulates only the behavior of the specific dependent components that developers or testers need to exercise in order to complete their end-to-end transactions.
This embeds the API description in the source code of a project and is informally called code-first or bottom-up API development. Alternatively, using Swagger Codegen, developers can decouple the source code from the Open API document, and generate client and server code directly from the design. This makes it possible to defer the coding aspect.
Data-driven testing is implemented as a Microsoft Excel workbook that can be accessed from UFT. UFT has two types of data tables: the Global data sheet and Action (local) data sheets. The test steps can read data from these data tables in order to drive variable data into the application under test, and verify the expected result. [10]
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