AI has reshaped the landscape of almost every industry around the world, and the software testing industry is no exception. Through a lot of research, we have compiled the top 7 best AI testing tools that can bring your testing game to the next level.
These AI-powered testing tools include:
AI testing tools are software testing tools that leverage AI systems to enhance various aspects of the testing process. They assist QA teams in traditional testing activities (test creation, management, reporting, etc.) and perform more advanced cognitive tasks that previously required human intelligence.
AI-powered testing tools are a breakthrough in the software testing industry, bringing us closer to level 5 of the Autonomous Testing Benchmark.
📚 Read More: Autonomous Testing: A Complete Guide
Artificial intelligence (AI) is the simulation of human intelligence via machines. We have built sophisticated computer programs that can accomplish so many fascinating tasks; however, they are still programs, and they do exactly what they are instructed to do.
AI is also a computer program, but what makes it different is that it has been trained with enormous volumes of data to the point that it can recognize patterns from the input data and decide the course of action. It can also learn and adapt to new information. This means we can leverage AI for more advanced cognitive abilities, and in test automation specifically, AI can be the game-changer, assisting QA teams in even more advanced tasks.
According to the State of Software Quality Report 2024, test case generation is the most common application of AI for both manual testing and automation testing, followed by test data generation. You can download the report for the latest insights in the industry.
With AI-enabled test techniques, testers can improve all stages of the Software Testing Life Cycle (STLC).
Creating test scripts used to take a lot of time. Testers had to read through requirements and understand the system deeply. Now, AI can speed this up by:
Good testing needs lots of test data. AI testing tools can help by:
Creating synthetic data based on real test data
Changing existing data to cover more test cases
Improving the accuracy of current test data
Scanning large code bases to understand context better
Running tests manually on different browsers and devices can be slow. AI testing tools help by:
Organizing test cases clearly
Picking the right tests for different browsers and systems
Choosing which tests to rerun for updates or fixes
Updating test scripts after changes in the app is hard and time-consuming. AI makes it easier by:
Finding replacements when something breaks (self-healing tests)
Linking UI changes to the code to show which tests need updates
AI helps testers quickly find out what went wrong and why by:
Looking at logs, performance data, and error patterns
Tracing problems back to specific features or requirements
Using knowledge from past issues to help solve new ones
📚 Read More: The Potential of AI in Regression Testing
AI testing tools offer teams several benefits, including:
The AI testing tools presented below are at the forefront of the industry, integrating AI technologies into their systems to revolutionize the way we test.
Katalon is a comprehensive quality management platform that supports test creation, management, execution, maintenance, and reporting for web, API, desktop, and even mobile applications across a wide variety of environments, all in one place, with minimal engineering and programming skill requirements. Katalon comes with many AI features, including:
As one of the pioneers in the use of AI in software testing, Katalon continues to add more exciting AI-powered features to their product portfolio, empowering QA teams around the world to test with unparalleled accuracy and efficiency.
TestCraft by Perfecto is an AI-powered test automation tool based on Selenium. It offers features for both manual and automated testing, excelling at quickly delivering tests for web-based software.
Key features:
Applitools is an AI-based test automation tool that has various applications, but it has been primarily used for testing, monitoring, and managing the visual aspect of apps. The tool is preferred by engineers and digital transformation teams due to its adaptability. It makes effective use of AI and ML to execute visual tests and is recognized for its fast and precise performance.
Key features:
Check out a G2's feature comparison between Katalon and Applitools. G2 is the world's leading tech review site, and this comparison table is based on authentic user reviews.
Functionize is a cloud-based automated testing tool used for functional, performance, and load testing, providing a comprehensive solution. This tool incorporates AI/ML technology to accelerate test creation, diagnosis, and maintenance.
One notable advantage of Functionize is its simplicity. You can effortlessly perform tests by typing your desired test scenarios in plain English, and the tool's natural language processing (NLP) generates functional test cases. Additionally, it efficiently executes a large number of tests within minutes across various desktop and mobile browsers. If you're seeking a test automation tool, Functionize is definitely worth considering.
Key features:
Mabl has a powerful and easy-to-use graphical user interface (GUI). It is an AI testing tool that enables low code testing without the need for scripting. This tool is ideal for busy teams as it allows high-speed testing throughout the entire software development process. Additionally, Mabl promotes collaboration between clients and managers at every phase.
Key features:
Accelq is an AI testing tool that automates test designs and plans, and executes them. It is beneficial for testing UI, mobile, API, and PC software, providing a comprehensive view of the entire QA lifecycle.
Key features:
Testim Automate is a test automation platform that employs machine learning to tackle two common challenges in software testing: slow test creation and extensive test maintenance. With Testim, individuals without coding skills can quickly create end-to-end tests using its recording functions. Engineers can also leverage code to enhance these capabilities, combining the strengths of both approaches.
Testim enhances test maintenance with its innovative smart locators method. This method examines every element utilized in testing and assigns weights to hundreds of attributes for each element. Therefore, even if one attribute, such as an ID, changes, Testim can still locate the element, preventing test failures. The best part is that this process is straightforward, eliminating the need for complex and error-prone queries.