There are a few different types of tests that are typically performed on a completed Python automation project. These include unit tests, integration tests, and end-to-end tests.
Unit tests are typically used to test individual pieces of code, or units, in a Python project. These tests are usually written by the developers who wrote the code being tested. Unit tests help to ensure that the code is working as expected and that there are no bugs.
Integration tests are used to test how different units of code work together. These tests are usually written by the developers who wrote the code being tested. Integration tests help to ensure that the code is working as expected and that there are no bugs.
End-to-end tests are used to test the entire Python automation project from start to finish. These tests are usually written by testers who are not familiar with the code being tested. End-to-end tests help to ensure that the code is working as expected and that there are no bugs.
Other related questions:
What are the six 6 steps in the automated test lifecycle?
1) Planning and Preparation
2) Test Design
3) Test Execution
4) Test Monitoring and Control
5) Test Closure
6) Reporting and Documentation
What is required for automation testing?
In order to automate testing, you will need a testing tool and a test script. The testing tool will execute the test script, which will automate the testing process.
What type of testing will be performed in automation?
There are many types of testing that can be performed in automation, including functional testing, regression testing, load testing, and performance testing.
What is the scope of Python automation testing?
Python automation testing can be used to test a wide variety of applications, from simple graphical user interface (GUI) applications to complex distributed systems.