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Top 12 AI Testing Tools for Test Automation in 2024

Last Updated : 25 Apr, 2024
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Automation Testing Tools List: In this digital era, AI tools for test automation have played the most significant role in the technical industry. Because of these AI testing tools for test automation, testing software has become easy. AI tools for test automation are not only simplifying the development process but also transforming testing practices. These tools offer solutions for challenges like mobile testing, and codeless automation.

Top AI Testing Tools for Test Automation

In this blog, we will explore the Top automation testing tools list, for a QA professional, start-up stakeholders, and more. This blog will help you to choose the free AI testing tools according to your needs.

Top 12 AI Testing Tools for Test Automation

1. ACCELQ

ACCELQ is a codeless AI- powered tool that helps in testing software seamlessly. It allows multi channel test for mobile, desktop and more. It is a top AI tool for test automation which provide continuous test automation and makes the work easy.

ACCELQ

Features:

  • It is a rapid test automation tool and has minimum effort for maintenance.
  • It seamlessly allows multi channel testing.
  • It is a codeless AI tool for test automation which makes the work more easy and efficient.

Pros:

  • It has defined framework which makes the work for user more easy.
  • It is a codeless AI tool which saves the time for coding.
  • It a rapid and efficient software for testing software

Cons:

  • It requires a inbuilt editor for java integration for custom methods.
  • It is a paid AI tool i.e you need to pay a certain sum to use it initially.
  • It doesn’t enough documentation for usage.

Price:

  • Free trail
  • 30$ per month

Website link: https://www.accelq.com/

2. Katalon

Katalon is an AI tool for test automation that provides a complete solution for testing of mobile applications and websites. It provides an in-built interface for testing. It has a robust object repository, multi language support and more.

Katalon

Features:

  • Create elements that are reusable for improvised test automation
  • It can script in multiple languages, including Java, C++ and more.
  • It provides efficient and effective test results which ensure quality of the application or web.

Pros:

  • It supports several types of testing like keywords driven, data driven etc.
  • It has a user-friendly GUI.
  • It integrates CI/ DevOps workflow and other tools.

Cons:

  • It has a small community as compared to other competitor companies.
  • It doesn’t have open source which results in less no. of developers.
  • It sometimes has performance issues.

Pricing:

  • Free version
  • Rs. 167 per month.

Website link: https://www.katalon.com/

3. Selenium

Selenium is an AI tool for test automation which is an open source software tool for automating web and applications. It is basically used for regression testing, functional testing and performance testing. It supports multiple languages.

Selenium

Features:

  • It is a portable software testing tool for web and applications.
  • It supports multiple languages including python, Ruby etc.
  • It can be easily used on platforms like Windows, Linux, etc.

Pros:

  • It is an open source tool.
  • It provides a base for extensions.
  • It provides support for multiple borrowers.

Cons:

  • There is minimal support for conditional and iteration operations.
  • Execution of process is slow.
  • It doesn’t provide any mechanism for handling errors that occur.

Pricing:

  • Free version.

Website link: https://www.selenium.dev/

4. Appium

One of the AI tools for test automation is Appium. It makes hybrid, native and mobile testing easy. It supports automation on different platforms like, iOS, Android etc. without SDK. It is an AI tool for test automation which has backend API and data base excess.

Appium

Features:

  • It seamlessly performs functions on multiple platforms.
  • It integrates with CI tools to automate testing.
  • Mobile apps can be automated and write in any language.

Pros:

  • It uses cross platform for hybrid and native mobile applications.
  • It has no dependency on mobile applications.
  • It supports JSON wire protocol.

Cons:

  • Testing of Android versions lower than 4.2 is not permitted.
  • It does not support Microsoft windows.
  • It does not have enough support for hybrid testing.

Pricing:

  • Free version.

Website link: https://appium.io/docs/en/2.4/

5. Cypress

Cypress is an AI tool for test automation which is designed for applications that run in browsers. It provides rapid results without any dependency, code changes or downloads. It has a developer friendly environment.

Cypress

Features:

  • It provides seamless test automation and is developer friendly.
  • It has debugging capacity as it uses parallelization and load balancing.
  • It has a simple test set up which makes it easy to use.

Pros:

  • It provides instant response in real time of application testing.
  • It doesn’t require any additional download or dependency.
  • There is an IDE to modify the test script.

Cons:

  • Cypress is currently only supported by browsers.
  • It does not support remote execution.
  • For building test cases. It only supports the Java language framework.

Pricing:

  • Free version
  • 67$ – 267$ per month.

Website link: https://www.cypress.io/

6. Parasoft

Parasoft is one of the AI tools for test automation which performs functional and unit testing. It ensures reliability, performance and security of applications. It has powerful static code analysis and test data management.

Parasoft

Features:

  • It analyzes code for security and compliance issues.
  • It manages data for accurate testing.
  • It integrates seamlessly with popular development environments.

Pros:

  • It is the best solution for testing APIs which offers functional testing capacity.
  • It has an efficient test management system which makes testing easy and fast.
  • It has a user -friendly intuitive workflow.

Cons:

  • It has limited testing capacity for GUI.
  • It sometimes faces difficulty in server administration.
  • It requires a good understanding of components like DTP, CTP etc.

Pricing: 1.68 $ per hour.

Website link: https://www.parasoft.com/

7. Cucumber

Cucumber is an AI tool for test automation which is popular for its open source test automation and also for promoting behavior driven development (BDD). It permits the team to collaborate. It supports various languages which makes work easy for developers.

Cucumber

Features:

  • It supports multiple programming languages such as Java, javascript etc.
  • It seamlessly integrates with other testing tools for effective results.
  • It writes program in understandable language for easy understanding and communication.

Pros:

  • It supports behavior driven development that supports collaboration between team and stakeholders.
  • It provides easy to read documentation.
  • It supports multiple programming languages.

Cons:

  • It requires additional resources such as time and effort, setup and maintenance.
  • It has limited debugging problems.
  • It is not suitable for all types of tests.

Pricing:

  • Free trial for 2 projects
  • 32$ per month

Website link: https://cucumber.io/

8. TestNG

TestNG is one of the numerous AI tool for test automation that offers advanced flexibility and capabilities for test automation which are Java based applications. It provides extensive annotations, maintenance test suites and more.

TestNG

Features:

  • It can run tests in parallel to multiple threads for faster execution.
  • It can easily manage test scenarios that are complex.
  • It can integrate with build tools.

Pros:

  • It provides flexibility and control over execution.
  • It supports grouping and parallel testing.
  • It provides complete results and analysis.

Cons:

  • It requires more code for setup.
  • It has a steeper learning curve.
  • It is time consuming.

Pricing:

  • Free version

Website link: https://testng.org/

9. Lambda test

Lambda test is an AI tool for test automation which can run test mutually and automate tests on sales of over 3000+ devices. It is a continuous testing cloud system. It supports 120 integration as well as geo-location testing. It helps developers and testers to ship code faster.

Lambda Test

Features:

  • It can run automated tests on 3000+ devices.
  • It increases test reliability with auto healing.
  • It has real time visibility of testing efforts to identify issues.

Pros:

  • It provides wide range platforms for testing applications.
  • It has seamless integration with CI.
  • It’s technical support is quick and efficient.

Cons:

  • It’s cost is high for small teams or projects with limited budget.
  • It has occasional issue with performance.
  • Sometimes the result is not reliable.

Pricing:

  • Free trial.
  • 15$ for one test.

Website link: https://www.lambdatest.com/intl/en-in

10. Robot Framework

Robot Framework is another open source AI tool for test automation used for test acceptance. It can be used any where as it is highly versatile. It can be used for various types of testing and on various platforms like Windows, iOS, etc.

Robot Framework

Features:

  • It operates in a keyword driven approach which allows users to write tests easily.
  • It has extensive support from the library for additional functionalities.
  • It can integrate with other tools like eclipse, Jenkins etc.

Pros:

  • It is easy to use and user friendly for beginners.
  • It provides detailed reports on test execution.
  • It shows statistics for each tag.

Cons:

  • It has limited support for non UI testing.
  • It has a steep learning curve.
  • It has limited support for database testing.

Pricing:

  • 420$ per month.

Website link: https://robotframework.org/

11. Test Craft

Test craft is a robust selenium- based AI tool for test automation. It provides an approach for codeless testing and makes it easy for non technical users to test. It has less burden of maintenance and supports remote working and collaborations.

Test Craft

Features:

  • It has a codeless approach for testing.
  • It has AI / MI technology for low test maintenance.
  • It has a cloud base solution which promotes remote working.

Pros:

  • Its codeless automation feature saves time and effort.
  • It increases efficiency and accuracy.
  • It has less chances of errors a s issues.

Cons:

  • It has a complex setup initially.
  • It provides limited customization.
  • It has limited support from platforms.

Pricing:

  • Free version

Website link: https://home.testcraft.app/

12. Watir

Watir is an open source AI tool for test automation based on Ruby. It imitates user interaction with applications supporting multiple browser testing. It is a flexible solution for any web application testing.

Watir

Features:

  • Imitates user interaction across different browsers.
  • It creates simple and readable tests.
  • Open source tool for web applications.

Pros:

  • It is an open source tool and is very easy to use.
  • Any web application that works in browsers can be automated using watir.
  • It has an inbuilt library, alerts, etc.

Cons:

  • It is only supported for the Ruby test framework.
  • It does not support mobile testing.
  • Every web application requires a different library.

Pricing:

  • Free version

Website link: https://watir.com/

Conclusion

Using both traditional testing methods and automation testing tools listoffers a hopeful approach to increase efficiency of software development. Adopting AI tools is vital as it is promising for teams who are aiming to deliver superior software effectively and efficiently.

AI tools for test automation can help to improve efficiency, reduce errors and improvise testing. Additionally, they increase test coverage, accuracy and speed leading to higher software quality. Combining AI into test automation workflow can highly increase organizations benefits by reducing efforts and increasing productivity.

AI Testing Tools for Test Automation in 2024 – FAQs

Which AI tool for test automation is in demand in 2024?

Selenium is an adoptable automation tool which provides end to end test automation. It supports multiple languages and provides libraries for various tests.

Can AI do automation testing?

AI is capable of running tests, automatically assessing data, identifying errors and more.

How to use AI in automation testing?

You simply need to direct some of the latest AI / MI tools.on your web application to automatically initiate crawling.



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