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What is Automation Framework: Comprehensive Understanding of Automation Frameworks

What is a testing framework? A framework is a set of guidelines and an architecture that, when followed, can produce beneficial results.

A testing framework is a structure built to provide an execution environment for automated testing scripts. It consists of a set of guidelines, such as coding standards, test data handling, and object library management.

Following these guidelines during the process of writing automation scripts can yield beneficial outcomes, such as increased code reusability, higher portability, and reduced script maintenance costs. These guidelines are not rules; they are not mandatory, and you can still write scripts without following them. However, by not adhering to the guidelines, you would miss out on the advantages of having a framework.

The benefits of using a testing framework are primarily:

Improved testing efficiency
Reduced maintenance costs
Minimal manual intervention
Maximum test coverage
Code reusability

 

Common automation testing frameworks:

What is a testing framework? I will now discuss common automation testing frameworks from a practical standpoint. The most widely used ones are for Web UI automation and API automation. Here is the information I have compiled:

  1. API automation frameworks:
    • Java + TestNG/JUnit + Maven/Ant/Gradle + Jenkins + MySQL
    • Python + unittest/pytest + Git + Jenkins + MySQL
    • Python + Robot Framework + unittest/pytest + Git + Jenkins + MySQL
    • JMeter + Maven/Ant + Jenkins + MySQL
  2. UI automation testing frameworks:
    • Java + Selenium/Appium + TestNG/JUnit + Maven/Ant/Gradle + Jenkins + MySQL
    • Python + Selenium/Appium + unittest/pytest + Git + Jenkins + MySQL
    • Python + Robot Framework + unittest/pytest + Git + Jenkins + MySQL

Please note that the commonly used Robot Framework and Selenium can be referred to as either frameworks or tools.

 

Components of a testing framework:

• Configuration file management:

We need a configuration file to control environment information, switches, etc. Configuration files can be in formats like txt/xml/yaml/properties/ini. In Java code, properties files are commonly used, but in this article, which is based on Python development, we will choose the ini file format.

• Separation of business logic code and test scripts:

Write business logic code and test scripts in separate Python files in different directories. This approach allows for code reuse, encapsulation, code refactoring, and clearer project directories. It is suitable for multi-person script development, facilitating debugging and maintenance.

• Reporting and log file output:

Test case execution results need to be displayed using reports, which are often implemented using third-party plugins like HTMLTestRunner, providing a simple and clear style. Log file output is important for quickly locating errors and identifying script execution failures.

• User-defined libraries:

In a testing project, many functionalities require repeated usage. These functionalities can be encapsulated as reusable methods or tools in a common library, making it convenient for repeated calls and ensuring encapsulation.

• Script management and execution:

The unit testing frameworks in Python, such as unittest and pytest, are highly efficient for managing and executing test cases.

• Third-party plugins:

Sometimes, certain functionalities of our testing project can be better implemented using third-party plugins. Examples include parameterization using the "parameterized" library and generating HTML reports using the "htmltestrunner" plugin. These plugins can be managed in a separate third-party plugin package.

• Continuous integration:

Git, SVN, Ant, Maven, and Jenkins can be integrated into Jenkins to achieve continuous integration, enabling one-click execution of test scripts.

 

What is a testing framework? In today's fast-paced and competitive software development ecosystem, automated testing frameworks play an essential role in maintaining speed, efficiency, and clarity throughout the software testing cycle. With the introduction of artificial intelligence into software testing, organizations considering adopting an automated testing framework must delve into the design of the framework before venturing into this field. A well-designed framework and a strategy for using components will lay the foundation for the ultimate automated testing framework.

The best approach to building a mature, refined, and flexible automated testing framework architecture is to start small, conduct frequent testing and reviews, and gradually build and expand the framework to higher levels.

Preparing a significant amount of automated testing from the early stages is convenient as it allows for a faster realization of the framework's functionality and helps avoid conflicts or damages in the automation testing phase. If you're interested in automation testing, feel free to visit WeTest Automation, which can help you overcome challenges. It integrates popular CI/CD tools, and a free trial is available.

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