unittesthttps://docs.Python.org/3/library/unittest.html |
Seleniumhttps://pypi.org/project/selenium/ |
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Programming language |
Python |
Python |
Category |
Unit Testing |
Web Automation |
General info |
unittest is a unit testing framework for PythonThe unittest test framework is Python’s xUnit style framework. It is a standard module that is bundled with Python and supports the automation and aggregation of tests and common setup and shutdown code for them. |
Selenium is an open source tool used to test web applicationsSelenium is a powerful testing tool which can send standard Python commands to different browsers, despite variations in browser design. It also provides extensions to emulate user interaction with browsers, a distribution server for scaling browser allocation, and the infrastructure for implementations of the W3C WebDriver specification that lets you write interchangeable code for all major web browsers |
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality. |
Yesunittest is a xUnit style frameworkfor Python, it was previously called PyUnit. |
No |
Client-side
Allows testing code execution on the client, such as a web browser |
YesFront-end functionality and behaviour can be tested by unittest. |
YesIt is primarily a browser automation tool which tests front-end components and functionality |
Server-side
Allows testing the bahovior of a server-side code |
YesSince the webserver funtionalities have their own features and each feature has its own functions, we can write tests with unittest to test each function |
YesIt can perform Unit tests and can test various components and behaviours in the backend using a BDD or TDD approach |
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test |
YesBy use of the 'setUp()' function which is called to prepare the test fixture |
YesBy writing your Selenium WebDriver tests in PyTest, this gives you access to Pytest's powerful fixture model |
Group fixtures
Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests. |
Yesunittest allows you to group your initialization code into a setUp function and clean up code in a tearDown function |
YesOne can group fixtures if accessing Pytest's fixture model |
Generators
Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way. |
Yesunittest contains generator methods in the module 'unittest.TestCase' |
YesBy using a library such as Faker or Fake-factory |
Licence
Licence type governing the use and redistribution of the software |
MIT License |
Apache License 2.0 |
Mocks
Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed) |
YesMocks are available from the library unittest.mock which allows you to replace parts of your system under test with mock objects |
YesIt includes support for mocking |
Grouping
Allows organizing tests in groups |
YesOne can build suites either manually or use test discovery to build the suite automatically by scanning a directory |
YesBy using the TestNG feature with which we can create groups and maintain them easily |
Other
Other useful information about the testing framework |
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