AI-powered test automation tools are the next frontier for testers familiar with traditional methods. With a range of features and benefits, these solutions help you break new ground (and save time) when it comes to test automation. Let’s dive into this chapter to discover what they are and how they will help your team be more efficient, accurate and transparent!
aqua ALM
aqua ALM is a cloud-based solution that has been in business for over 20 years. The AI-supported software test management solution, available in paid and free versions, grew out of the need for a more efficient and secure tracking tool for testing tasks. It offers an intuitive UX, streamlined workflows, and relevant data analytics that make the ALM process more accessible and transparent to all project participants.
The key AI functionality is generating entire test cases from requirements. aqua uses a large-scale natural language processing algorithm to turn plain text into a test. So about 40% of the AI-generated test cases don’t need human tweaks to be added to the test suite. QA specialists can create test steps themselves and make the AI fill out the test case description or do it vice versa.
aqua is a powerful test management tool and was designed for agile teams. It has a rating of 4.5 stars on G2 and Capterra, with Google and the German government among its clients. The software boasts native integration options and can send/receive data from any other third-party tool via REST API
Perfecto Scriptless
Perfecto Scriptless is another solution that enhances Selenium automation — and Selenium is open-source. It promises to be a quick onboarding tool with no coding required that can be used for integration, usability, and performance testing. Perfecto can work with Jenkins, TeamCIty, Jira, and GitLab, among others.
The key selling point of Perfecto Scriptless is the low barrier of entry. Boasting the no-code approach, this is designed to be one of the most straightforward tools for implementing AI in automation testing. It is made to be even easier than regular test automation with Selenium.
The Perfecto Scriptless scriptless regression testing tool solves many of the problems that testers have with their existing tools. While some testers may find the learning curve too steep to use this tool effectively, others will appreciate the functionality and ease of use.
Testim
Testim is a powerful test automation solution that AI underpins. Born from Microsoft’s accelerator programme and acquired by Tricentis in 2022, Testim has continued to innovate and achieve success since its launch.
Testim is an automated testing tool backed by Selenium and thus provides an option of sticking with or maintaining your existing automation framework. It aims to aid experienced engineers in writing automated tests and has over 15 integrations with issue-tracking solutions and continuous integration software.
This online platform has similar AI-powered testing as aqua. Testim has a 4.5-star rating on review websites, and their users seem happy with the interface overall, but there were reports of a non-intuitive user interface and limited mobile testing. Luckily Testim also has a free trial, which makes it easy to test out before deciding if you want to commit.
ACCELQ
ACCELQ is a no-code test automation platform with robust algorithms and built-in knowledge bases that quickly enable businesses to build high-quality automation frameworks. Since its launch in 2014, it has been adopted by Intel, Pfizer, and United Airlines, among others."
The broad scope is the first thing that differentiates ACCELQ from other competitors. A tool provides dedicated solutions for web, mobile, and API testing. The native integration with issue lifecycle management tools makes it easy to create tests that cover all major frameworks, including React and AngularJS.
The solution has some minor performance complaints, a couple of reports on lacking documentation, and a note about high upfront investment. Still, overall it's been given a score of 4.5 (out of 5) stars by its users.
Applitools
Applitools is an AI-powered test automation platform that provides solutions for UI testing. Since its launch in 2015, it has collaborated with Microsoft, Bank of America, and adidas.
Applitools offers visualised testing solutions to improve the quality of your software. Its cross-browser, cross-device grid allows you to test web and native mobile applications. It integrates with issue-tracking solutions and even competitor solutions, including Testim.
While it scores in the 4.5 range for reviews, offering outstanding reliability and usability, it has some significant execution issues. For example, just running a simple test will take 80–100 seconds because of all the processes happening in the background. You’ll need to invest in creating your custom visualisation and integration. Still, as a result of speeding up how quickly tests can be executed, overall, this could save you time.
Final thoughts
As AI technology becomes more widely used in various industries, including software testing, there will be more and better tools to help make the process easier.
The branch will only grow as more AI algorithm licensing becomes available, leading to even better solutions down the road.
If you have any other AI-powered test automation tools which I haven’t mentioned, drop them below👇
If you want to follow my testing learning journey, follow the "Software Testing Talks" groups I created on Reddit and Linkedin. I share the most interesting QA discussions I find on the web and insights I get during testing work and studies there.
I am also happy to hear your feedback, suggestions, or ideas about what you would like me to write more about. Don't hesitate to text me if you want to say hi or discuss something.
Top comments (3)
Great Share @taniazhydkova
thanks! appreciate it
Here are the top 5 tools for AI-based test automation:
Selenium with TensorFlow:
Selenium is a widely-used open-source tool for automating web browsers. When integrated with TensorFlow, an open-source machine learning framework, Selenium gains AI capabilities for smarter test automation. TensorFlow can be used to analyze test results, identify patterns, and optimize test scripts, making the testing process more efficient and effective.
Testim:
Testim is an AI-driven test automation platform that leverages machine learning algorithms to create and maintain test scripts automatically. It uses dynamic locators and self-healing capabilities to adapt to changes in the application under test, reducing maintenance overhead and improving test stability. Testim's AI-powered analytics provide insights into test coverage, execution trends, and potential areas for improvement.
Applitools:
Applitools offers an AI-powered visual testing platform that automatically detects visual differences between baseline and actual application screenshots. Using computer vision algorithms, it can identify UI elements, layout changes, and rendering issues across different browsers, devices, and screen resolutions. Applitools' AI-driven approach enables faster and more accurate visual testing, ensuring consistent user experiences.
Mabl:
Mabl is an AI-driven test automation platform designed to streamline the testing process from creation to maintenance. It uses machine learning algorithms to generate and maintain test scripts, prioritize test execution based on risk, and identify flaky tests for resolution. Mabl's autonomous testing capabilities enable teams to focus on high-impact testing activities while reducing manual effort and improving test coverage.
Functionize:
Functionize is an AI-powered test automation platform that leverages natural language processing (NLP) and machine learning to create and execute tests. It enables teams to write tests in plain English using its Adaptive Language Processing (ALP) technology, which automatically translates natural language into executable test scripts. Functionize's AI-driven testing approach accelerates test creation, enhances test coverage, and reduces maintenance effort.
Visit this website to learn more about artificial intelligence and AI tools:
aichief.com/
These tools harness the power of AI and machine learning to automate various aspects of the testing lifecycle, from test creation and execution to result analysis and maintenance. By leveraging AI-based test automation tools, teams can achieve faster, more reliable testing outcomes while reducing manual effort and accelerating time to market.