Webinar
Switchable Models, Personalization, and Onboarding Agent
Home / Blog /
Top automation testing tools and frameworks
//

Top automation testing tools and frameworks

//
Tabnine Team /
8 minutes /
March 13, 2023

What Are Automation Testing Tools?

Automation testing tools are software programs that are used to automate the process of testing. These tools can be used to run repetitive tests, perform regression testing, and test the functionality and performance of an application. Some common types of automation testing tools include:

  • Unit testing frameworks: These test individual units of code, such as functions or methods. Examples include JUnit for Java, NUnit for .NET, and pytest for Python.
  • Functional testing tools: These test the functionality of an application. Examples include Selenium, Appium, and TestComplete.
  • Performance testing tools: These test the performance of an application under different loads and conditions. Examples include Apache JMeter, LoadRunner, and Gatling.
  • Test management tools: These manage and organize the testing process, including test cases, test results, and test plans. Examples include TestRail, Zephyr, and qTest.
  • Continuous integration and delivery (CI/CD) tools: These automate the process of building, testing, and deploying software. Examples include Jenkins, Travis CI, and CircleCI.

Automation Testing vs. AI Testing Tools 

Automation testing tools and AI testing tools are both used to automate the testing of software applications and systems, but they differ in the way they automate the testing process.

Automation testing tools are designed to automate repetitive, time-consuming tasks and help ensure that software is functioning correctly and meets specified requirements. These tools can automate the execution of test cases and the comparison of actual results with expected results. They can also be used to automate the creation of test cases, but typically require the manual creation of test cases.

On the other hand, AI testing tools use artificial intelligence and machine learning techniques to automate the testing process. These tools can be used to improve the efficiency and effectiveness of testing by reducing manual effort, increasing test coverage, and identifying defects and issues more quickly. They can be used for tasks such as generating test cases, optimizing the test execution process, analyzing test results, predicting the results of tests, and summarizing test results.

 

Top 7 Automation Testing Tools and Frameworks 

Selenium

Selenium is an open-source browser automation tool that is primarily used for automated functional testing of web applications. It allows developers to write scripts in programming languages such as Java, C#, Python, Ruby, and JavaScript, which can then be used to automate the interaction with a web browser. Selenium can be used to automate a wide range of tasks such as:

  • Navigating to a website
  • Filling out forms
  • Clicking buttons
  • Verifying page content
  • Taking screenshots

Selenium is often used in conjunction with other testing frameworks and tools such as JUnit, TestNG, and Maven for building and running test suites. Selenium can interact with a wide range of web browsers, including Chrome, Firefox, Edge, and Safari, and it supports a variety of operating systems including Windows, macOS, and Linux.

Appium

Appium is an open-source, cross-platform test automation tool for mobile apps. It allows developers to write tests in multiple programming languages, including Java, Ruby, Python, C#, and JavaScript, and run them on both Android and iOS platforms. Appium supports both Android and iOS native, mobile web, and hybrid apps. Notable capabilities include remote and parallel testing.

Appium uses a client-server architecture, where the client sends commands to the server, which then executes them on the mobile device. This allows Appium to interact with the mobile app as a user would, performing actions such as clicking buttons, entering text, and scrolling through lists. Appium can also access the mobile device’s internal APIs, such as GPS and camera, to perform more advanced testing.

Katalon 

Katalon Studio is an automation testing tool for web, mobile, and API testing. It is a powerful solution for test automation that supports both keyword-driven and data-driven testing. It is built on top of Selenium and Appium and provides a user-friendly interface and a wide range of built-in functionalities to help users automate their tests easily and efficiently.

Katalon Studio provides a comprehensive set of features for testing web applications, including support for web, mobile and API testing, record and playback, integration with various testing frameworks, and built-in reporting and analytics. It also supports test execution on various environments, including local, remote, and cloud-based environments.

One of the main advantages of using Katalon Studio is its ability to support both manual and automated testing, which makes it suitable for both experienced and new testers.

Cypress

Cypress is an end-to-end testing framework for web applications. It is designed to make it easy to set up, write, run, and debug tests for web applications. Cypress is built on top of JavaScript and uses a browser-based architecture that allows it to interact with a web application in the same way that a user would. This means that Cypress tests can simulate clicks, form submissions, and other user interactions, and can also access and verify the application’s state and behavior.

 

Cypress comes with a built-in test runner, and supports real-time reloads, time-travel debugging and automatic waiting, which makes it easier to write, debug and run tests. Cypress also supports parallel test execution, which enables you to run tests on multiple browsers or devices at the same time. This can help reduce the time it takes to run your tests, and give you more confidence in your application’s functionality.

LambdaTest

LambdaTest is a cloud-based cross-browser testing platform that allows you to test your web applications and websites on different browsers, operating systems, and mobile devices. It is a third-party tool that enables you to perform manual and automated testing on a wide range of browsers and devices, including desktop browsers, mobile browsers, and real mobile devices.

 

LambdaTest offers a number of features to help you test your web applications and websites, including:

  • Real-time testing on a cloud-based Selenium Grid
  • Automated screenshot testing
  • Automated video recording of test sessions
  • Integration with popular tools like Jira, Trello, and Slack
  • Automatic issue reporting
  • Support for automated testing frameworks like Selenium, Appium, and TestCafe.

TestComplete

 

TestComplete is an automation testing tool developed by SmartBear Software. It is used to test the functionality and performance of desktop, web, and mobile applications. TestComplete supports a variety of programming languages including Python, JavaScript, C++, C# and VBScript, and can be integrated with a number of different development environments, including Visual Studio and Eclipse.

TestComplete provides a comprehensive set of features for automating functional and regression testing, including support for record and playback, object-based scripting, and data-driven testing. It also has built-in support for testing web, mobile and desktop applications.

TestComplete also includes a visual object recognition feature, which allows you to easily identify and interact with the objects within your application, as well as integrated debugging, logging, and reporting capabilities. 

Ranorex 

Ranorex is a commercial automation testing tool that is used for functional and regression testing of desktop, web, and mobile applications. It provides a set of automation libraries and a GUI-based test editor that allows users to record, edit, and execute tests for a variety of different platforms, including Windows, Mac, Android, and iOS.

Ranorex offers a wide range of features, including:

  • Object recognition: Ranorex uses a proprietary object recognition algorithm that allows it to identify and interact with elements within an application, even when the application’s structure changes.
  • Test recording and editing: Ranorex’s GUI-based test editor allows users to record tests and edit them using a drag-and-drop interface.
  • Test execution and reporting: Ranorex allows users to execute tests and generate detailed test reports, including screenshots, log files, and error messages.

Applitools

Applitools is a software testing tool that is used to automate the process of visual testing for web and mobile applications. It uses advanced image and optical character recognition (OCR) algorithms to compare screenshots of an application’s user interface (UI) to a set of expected results. This allows developers to quickly and easily catch visual bugs, layout issues, and other UI problems that might be difficult to spot manually.

Applitools also provides a variety of features to help with test automation, such as support for multiple browsers and devices, integration with popular test frameworks, and the ability to run tests in parallel to speed up the testing process.

In addition to that, Applitools also provides a cloud-based platform called “Applitools Ultrafast Grid” that helps in running automated tests on a large scale and in parallel across multiple browsers, viewports and devices with minimal setup.

Applitools is particularly useful for web and mobile applications that have a lot of visual elements or that are frequently updated, as it can help ensure that the UI remains consistent and error-free.

Mabl

Mabl is a cloud-based, AI-powered test automation platform that allows users to automate the testing of web applications. It uses machine learning algorithms to automatically identify and interact with elements on a web page, and can be used to perform functional testing, regression testing, and performance testing.

Mabl’s key features include:

  • Automatically creating and executing test scripts.
  • Identifying and interacting with web page elements using machine learning.
  • Automatically detecting and reporting on regressions and other issues.
  • Integrating with popular development and testing tools such as JIRA, Slack, and Selenium.
  • Providing detailed test results and analytics, including screenshots, video recordings, and performance metrics.

The Future of Testing Tools with Generative AI 

The future of testing tools with generative AI is likely to see a greater integration of artificial intelligence and machine learning techniques into the testing process.

With the help of generative AI, test cases can be generated automatically and in a more efficient way, increasing the coverage of testing and discovering new defects and issues that would have been missed with manual testing. This can help to improve the overall quality of the software and reduce the time and effort required for testing.

Generative AI can also be used to supercharge test driven development (TDD). Developers who practice TDD try to create tests before adding functionality to code – initially the tests fail, and then when functionality is working, they pass. Generative AI tools can be used to easily create these tests without slowing down development work. 

Lastly, Generative AI technology can be integrated into the CI/CD process, to automatically create tests that are missing from a test suite during the build process. This can dramatically increase the agility of the testing process.

Automate engineering processes with Tabnine’s AI

Tabnine, the AI assistant for software development, has introduced AI-powered unit test generation capabilities to its platform. Tabnine is an AI assistant tool used by over 1 million developers from thousands of companies worldwide. Tabnine Enterprise has been built to help software engineering teams write high-quality code faster and more efficiently, accelerating the entire SDLC. Designed for use in enterprise software development environments, Tabnine Enterprise offers a range of features and benefits, including the highest security and compliance standards and features, as well as support for a variety of programming languages and IDEs. The use of AI results in fewer bugs and better code stability, which is especially important for projects with tight deadlines or larger teams.