Although we can automate the Functionality through Many Automation Framework Like Selenium, Appium, Robotium, UFT, etc.., we can not take the leverage of the automation tools to make a test Driven Program. In this post we will learn about Why Should We Use Robot Framework?
Robot Framework is a generic test automation framework for acceptance testing and acceptance test-driven development (ATDD). It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.
The Robot Framework project is hosted on GitHub where you can find further documentation, source code, and an issue tracker. Downloads are hosted at PyPI. The framework has a rich ecosystem around it consisting of various generic test libraries and tools that are developed as separate projects.
Robot Framework is an operating system and application-independent. The core framework is implemented using Python and runs also on Jython (JVM) and IronPython (.NET).
Robot Framework itself is open-source software released under Apache License 2.0, and most of the libraries and tools in the ecosystem are also open source. The framework was initially developed at Nokia Networks and it is nowadays sponsored by Robot Framework Foundation.
- Enables easy-to-use tabular syntax for creating test cases in a uniform way.
- Provides the ability to create reusable higher-level keywords from the existing keywords.
- Provides easy-to-read result reports and logs in HTML format.
- Is platform and application-independent.
- Provides a simple library API for creating customized test libraries that can be implemented natively with Python.
- Provides a command-line interface and XML-based output files for integration into existing build infrastructure (continuous integration systems).
- Provides support for testing web applications, rest APIs, mobile applications, running processes, connecting to remote systems via Telnet or SSH, and so on.
- Supports creating data-driven test cases.
- Has built-in support for variables, practical particularly for testing in different environments.
- Provides tagging to categorize and select test cases to be executed.
- Enables easy integration with source control: test suites are just files and directories that can be versioned with the production code.
- Provides test-case and test-suite-level setup and teardown.
- The modular architecture supports creating tests even for applications with several diverse interfaces.
If you are thinking to automate a System Which Needs The Following Library Find the Details Functionalities From the Bellow Post.