10 AI tools for Software Testing 2024

In the current digital age, artificial intelligence (AI) tools for test automation have become very important to the technical sector. Software testing is now simple thanks to these AI tools for Software Testing. Free AI testing tools for Software Testing are changing testing procedures in addition to streamlining the development process. These programs provide answers for problems such as codeless automation and mobile testing.

We will look at the best AI tools for Software Testing for QA specialists, startup stakeholders, and more in this article. This article will assist you in selecting the best AI tools for Software Testing.

Take a look at the AI tools for software testing below:

A codeless free AI testing tools for Software Testing called ACCELQ makes software testing easier. It enables multi-channel testing on PC, mobile, and other platforms. It is an excellent artificial intelligence solution for test automation that facilitates continuous testing and eases work.

Features

• It requires less maintenance work and is a quick test automation tool.
• It enables multi channel testing with ease.
• It is a codeless artificial intelligence technology that facilitates test automation and increases productivity.

Pros

• Because of its well-defined framework, the user’s job is made easier.
• It is an AI tool that doesn’t require programming, saving time.
• It is a quick and effective program for software testing.

Cons

• A built-in editor for Java integration is necessary for bespoke methods.
• It’s a paid AI tool, thus using it at first will cost you a set amount of money.
• There is insufficient documentation for use.

Pricing

• Free trial
• $30 per month

Link: https://www.accelq.com/

Katalon is an free AI testing tools for software testing that provides a complete solution for testing software of mobile applications and websites. It provides an in-built interface for testing software. It has a robust object repository, multi language support and more that makes testing software seamless.

Features

• Make reusable components for flexible test automation.
• It is capable of scripting in several languages, such as Java, C++, and others.
• It offers quick and accurate test results that guarantee the application’s or website’s quality.

Pros

• It facilitates several forms of testing, including data-driven and keyword-driven tests.
• Its GUI is easy to use.
• It incorporates additional tools and the CI/DevOps workflow.

Cons

• Compared to other rival companies, it has a smaller community.
• There are fewer developers because it is not open source.
• It occasionally has problems with performance.

Pricing

• Free version
• Rs. 167 per month.

Link: https://www.katalon.com/

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

Feature

• It is a portable tool for testing web and application software.
• It is compatible with several languages, such as Ruby and Python.
• On operating systems like Windows, Linux, etc., it is simple to use.

Pros

• This utility is open source.
• It offers a foundation for additions.
• It offers assistance to several borrowers.

Cons:

• Iteration and conditional operations are not well supported.
• The process is moving slowly.
• It doesn’t offer a method for dealing with mistakes that happen.

Pricing

• Free version

Link: https://www.selenium.dev/

Appium is one of the AI tools for software testing. It facilitates native, hybrid, and mobile testing. Without an SDK, it offers automation across a variety of platforms, including iOS and Android. It is an AI tool for software testing with a great deal of database and backend API.

Features

• It operates across several platforms with ease.
• It combines software testing with CI tools.
• Mobile apps are multinational and can be written automatically.

Pros

• Cross-platform technology is used for native and hybrid mobile applications.
• It does not rely on applications for mobile devices.
• The JSON wire protocol is supported.

Cons

• Android versions less than 4.2 are not allowed to be tested.
• Microsoft Windows is not supported by it.
• The support for hybrid testing is insufficient.

Pricing

• Free version

Link: https://appium.io/docs/en/latest/

Cypress is an artificial intelligence (AI) tool for software testing intended for browser-based apps. It works quickly and doesn’t require downloads, code modifications, or dependencies. Its environment is developer-friendly.

Features

• It offers smooth test automation and is user-friendly for developers.
• Because it makes use of load balancing and parallelization, it offers debugging capability.
• It is easy to use because of its straightforward test setup.

Pros

• It offers a prompt answer for application testing in real time.
• There are no other downloads or dependencies needed.
• An IDE is available for editing the test script.

Cons

• At the moment, only browsers support Cypress.
• Remote execution is not supported by it.
• For creating test scenarios, only the Java language foundation is supported.

Pricing

• Free version
• $67 – $267 per month

Link: https://www.cypress.io/

Parasoft is an AI tool for software testing used for functional and unit testing in test automation. It guarantees the dependability, efficiency, and security of applications. It has robust test data management and static code analysis.

Features

• Code is examined for security and compliance flaws.
• It handles data to ensure precise testing.
• It easily works with well-known development environments.

Pros

• When it comes to functional testing of APIs, this is the finest approach available.
• Its effective test management system facilitates quick and simple testing.
• Its process is easy to use and intuitive.

Cons

• Its ability to test GUIs is restricted.
• It occasionally encounters issues with server management.
• It requires a solid knowledge of DTP, CTP, and other related components.

Pricing

• $1.68 per hour

Link: https://www.parasoft.com/

Cucumber is an AI tool for software testing that is well-known for encouraging behavior-driven development (BDD) and for its open-source test automation. It enables the group to work together. Developers’ work is made easier by its support for multiple languages.

Features

• Numerous programming languages, including Java and JavaScript, are supported by it.
• For efficient outcomes, it easily combines with various testing instruments.
• It writes programs in easily understood language to facilitate communication.

Pros

• It encourages behavior-driven development, which facilitates team and stakeholder participation.
• It offers documentation that is simple to read.
• Numerous programming languages are supported by it.

Cons

• It needs extra time and energy, as well as resources for setup and upkeep.
• It has only a few debugging issues.
• It is not appropriate for every kind of test.

Pricing

• Free version
• $32 per month

Link: https://cucumber.io/

Among the many artificial intelligence (AI) tools for software testing, TestNG provides exceptional variety and power for testing Java-based apps. Along with maintenance test suites and other features, it offers comprehensive annotations.

Features

• For quicker execution, it has the ability to run tests parallel on several threads.
• Complex test situations are easily managed using it.
• Build tools can be integrated with it.

Pros

• It offers adaptability and command over implementation.
• Grouping and parallel testing are supported.
• It offers thorough analysis and results.

Cons

• Additional code is needed for setup.
• Its learning curve is very intense.
• It takes a lot of time.

Pricing

• Free version

Link: https://testng.org/

Lambda test is an AI tool for software testing that can automate tests on sales of more than 3000 devices and perform tests concurrently. It is a cloud system that is continuously tested. It allows geolocation testing in addition to 120 integration. It speeds the delivery of code by developers and testers.

Features

• On more than 3000 devices, it can conduct automatic tests.
• Auto healing improves test reliability.
• It can see testing activities in real time and identify problems.

Pros

• It offers a variety of platforms for app testing.
• Its connection with CI is smooth.
• The technical support provided is prompt and effective.

Cons

• For small teams or projects with tight budgets, its cost is considerable.
• It occasionally experiences performance issues.
• Sometimes the result is unreliable.

Pricing

• Free trial.
• $15 for one test

Link: https://www.lambdatest.com/intl/en-in

Another open-source AI tool for software testing is Robot Framework. It is very adaptable and may be used anywhere. It works with several platforms, including Windows and iOS, and can be used for a variety of testing purposes.

Features

• Its keyword-driven approach makes it simple for users to create tests.
• The library provides comprehensive support for new features.
• It is compatible with other tools such as Jenkins, Eclipse, and so on.

Pros

• Beginners will find it straightforward to use and user-friendly.
• It offers thorough reports on the performance of tests.
• For every tag, statistics are displayed.

Cons

• Its non-UI testing support is somewhat minimal.
• Its learning curve is quite steep.
• Support for database testing is not very extensive.

Pricing

• $420 per month.

Link: https://robotframework.org/

Increasing software development efficiency through the use of both automated testing tools and conventional testing techniques is a promising strategy. Using AI technologies is essential because they hold great promise for teams looking to develop high-quality software in an effective and efficient manner.

AI tools for software testing can boost productivity, lower mistake rates, and enhance testing. They also improve test speed, accuracy, and coverage, which raises the caliber of the software. Organizations can gain greatly from integrating AI into software testing by saving time and improving output.

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.