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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]
Testing, API testing: License: ... Parasoft SOAtest is a testing and analysis tool suite for testing and validating APIs and API-driven applications (e.g., cloud, ...
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.
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.
Katalon Platform is an automation testing software tool developed by Katalon, Inc. The software is built on top of the open-source automation frameworks Selenium, Appium with a specialized IDE interface for web, API, mobile and desktop application testing. [1] Its initial release for internal use was in January 2015.
An API fuzzer generates test inputs and request sequences to the API and records the response to see if any bugs or security vulnerabilities are uncovered. Load test - This type of testing simulates real-world workloads to see how a system or application performs. The goal is to find bottlenecks and determine the maximum number of users or ...
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]
Performance measures include elapsed time of the test, the amount of data transferred (including headers), the response time of the server, its transaction rate, its throughput, its concurrency and the number of times it returned OK. These measures are quantified and reported at the end of each run. [4] This is a sample of siege output: