Test automation is very essential for a successful and on–time automation testing process. These frameworks help the testing team to reduce the cost and testing efforts by providing high RoI on the testing initiatives. The idea of this blog is to walk you through the top open source test automation frameworks that are available in the market. Every test automation framework has its own advantage and disadvantage. Let’s explore the list
Most commonly used open-source test automation frameworks are listed below :
Robot Framework (RF) is widely used for user acceptance testing or acceptance test-driven development (ATDD). This mature solution uses keyword driven approach to create easy and readable tests. It is written in Python, but also can run on Jython (Java) and IronPython (.NET) and therefore can be used across platforms (Windows, Linux, or MacOS).
- The main advantage of Robot Framework is that it can simplify the test automation process by utilizing the keyword-driven approach
- Has easy to use test data syntax.
- Has a generous network of APIs around it consisting of generic test libraries and tools that can be developed as separate projects.
- The APIs of this framework makes adds extensible quality to the framework.
- Even though the tool is not having a built-in ability, Robot Framework enables to run parallel tests through pabot libraryor Selenium Grid.
- It is not easy to customize HTML reports.
JUnit is a framework to perform unit testing for Java applications and is used to write and execute repeatable tests. JUnit is a part of XUnit and can support different OS.
- Tests are written in pure Java which is known as the leading programming language worldwide.
- Supports test-driven development (TDD).
- Helps to create a discrete unit test case suite.
- JUnit can be integrated seamlessly with other tools and IDEs
- Has history – so it has a large user base that makes it easy to find documentation on it.
- The readability score is very less when it comes to non-technical people, since JUnit is constrained by Java conventions.
Spock is a framework that supports Java and Groovy applications for testing and specification. It is based on JUnit.
- The can create readable tests and can supports plain English sentences by added easy to read feature to it.
- Delivers the context that enables to understand how to fix a bug.
- Has built-in mocking and stubbing capabilities.
- Supports data-driven-tests (DDT).
- A basic knowledge of Groovy programming language is required to use the tool efficiently.
It is unit-testing framework that can be used for all DotNet based applications. Junit firstly derives NUnit and it is written in C#, and has been wholly redesigned to support .NET applications.
- Quick initiation and test execution.
- Comes with assertions and annotations
- Enables parallel testing
- Supports test-driven development (TDD)
- Do not support cross platform applications
- Cannot be integrated with Visual Studio and involves more maintenance
TestNG is a dedicated test automation framework for Java based application that is inspired by JUnit and NUnit. It includes improved and new functionalities that covers all the test automation categories such as unit testing, functional test, end-to-end integration testing.
- The tool runs in hand with Maven cycle
- Flexible test cases can be created with this tool
- Supports Data Driven testing (DDT)
- Annotations are easy to understand
- Test cases can be grouped easily
- Allows you to create parallel tests
- Only supports Java, so you need to have at least a basic knowledge of the Java programming language.
- You have to invest time in framework setup & design.
- Is supported by many CIs (Codeship, Travic, etc.).
- Has built-in syntax for assertions.
- Test runners such as karma is required for most test scenarios
- Has difficulties with asynchronous testing.
- Has its own test runner built-in.
- Supports asynchronous testing.
- The tool is flexible since it can use assertion library such as Chai, expect.js, Must.js that fits the replacement needs to Node’s standard ‘assert’ function.
- Relatively new to the field (developed in 2012), which means it’s still changing and its user base and support might be lacking in some aspects.
- The tool provides on the base testing structure and also requires additional setup and configuration for better efficiency