10 AI-Powered Software Testing Tools You Have to Know

Discover the top 10 AI-powered software testing tools in the market, including Testim, Amplitool, and Applitools, which offer innovative features like visual AI testing and low-code test automation. These tools are designed to enhance the efficiency of software testing, with a focus on web, mobile, and API testing, providing seamless integration with popular automation tools and robust reporting capabilities.

Takeaways

• 🤖 AI-powered tools are gaining popularity in the software testing industry, with many new tools emerging in the market.
• 📱 Testim, founded in 2016 and acquired by Tricentis in 2020, specializes in AI-driven test automation for web and mobile applications, with a focus on user flow recording and low-code test creation.
• 🎨 Applitools introduced visual AI testing, allowing for visual comparison of screens to identify layout and design issues, with seamless integration into various test automation tools.
• 🌐 UI Squad, established in 2021, offers automation for web, native desktop applications, and mobile, with AI capabilities to identify elements on a device screen without the need for object IDs or selectors.
• 💬 Virtual QA uses natural language processing to create test cases, with AI-powered self-healing features to adapt to changes and reduce flakiness in tests.
• 🧠 Mabel, founded in 2017, employs a local test automation approach with features like auto-healing, API testing, and smart element locators for powerful tests.
• 🔍 Testim.io (previously known as Testim) provides a platform for AI-powered test automation with capabilities like visual mapping to understand user journeys and focus testing efforts.
• 🚀 Aqua Alm, launched in 2013, offers AI functionality in beta since 2022, converting plain text into test cases using natural language processing algorithms.
• 📈 Perfecto Scriptel, acquired by Perfecto in 2018, enhances Selenium for AI automation with a no-code approach, AI-powered reporting, and third-party integrations.
• 🌐 Execute, founded in 2014, provides AI-powered, codeless test automation in the cloud with low barrier to entry and AI-powered object handling for quick test script creation.
• 🔧 Functionize, also founded in 2014, uses low-code AI-powered testing with natural language for test descriptions, visual testing, self-healing features, and third-party integrations.

Q & A

What is the main focus of the video?

The main focus of the video is to introduce and discuss 10 AI-powered software testing tools that are currently available on the market.

When was Testim founded and what capabilities does it offer for mobile testing?

Testim was founded in 2016 and it offers capabilities such as recording user flows, recognizing repeated patterns, low code test automation, a visual editor for easy test creation, and great reporting and test case management features specifically for mobile testing.

How does Applitools' AI technology assist in visual testing?

Applitools' AI technology is capable of visually comparing screens with each other, defining the correct layout, and identifying differences. It provides feedback on these differences, aiding in the detection of design issues across mobile, web, and desktop applications.

What makes Testimio's AI capabilities stand out?

Testimio's AI capabilities stand out because it can find any visible element on a device screen without the need for object IDs, selectors, or paths. It also offers cross-device automation, making it a versatile tool for software testing.

How does Virtuale.io utilize natural language for test automation?

Virtuale.io uses natural language processing to describe tests, allowing users to write test cases using natural language. The AI then turns these descriptions into automated test scripts, reducing the need for manual coding.

What is Mabel's approach to test automation?

Mabel uses a local test automation approach and offers a wide variety of features, including auto-healing, API testing, and smart element locators that can be used across different frameworks to build powerful tests.

What are the key features of Quirus as an end-to-end testing platform?

Quirus is a no-code or low-code testing platform that covers web, mobile, and APIs. It uses AI to identify and fix broken tests, provides a visual map of user journeys, and offers comprehensive reporting and third-party integrations.

How does Aqua Cloud.IO facilitate the creation of test scripts?

Aqua Cloud.IO uses natural language processing algorithms to convert plain text into test scripts. It generates test steps based on the description provided, reducing the need for manual adjustments and making it easier to create test scripts.

What is Perfecto Scriptel's approach to AI-powered reporting?

Perfecto Scriptel uses a no-code approach for defining test cases and scripts. It offers AI-powered reporting and third-party integrations, making it accessible for web and mobile projects without requiring extensive coding knowledge.

How does Excelonix differentiate itself in the AI testing tools market?

Excelonix offers AI-powered codeless test automation in the cloud, with a low barrier of entry and AI-powered object handling. It provides an all-in-one solution from automation to test reporting, making it a comprehensive platform for AI-powered testing.

What is the significance of AI in the software testing industry?

AI is a significant addition to the software testing industry as it can generate new testing ideas, automate complex tasks, and reduce the need for manual efforts. However, it's important to use critical thinking when evaluating AI-generated results to ensure accuracy and reliability.

Outlines

00:00

🚀 Introduction to AI-Powered Testing Tools

Daniel Knott introduces the topic of AI-powered tools in the context of software testing. He mentions the recent hype around AI, particularly referencing tools like GPT that have been in the news. Daniel shares his interest in exploring these tools, specifically for mobile testers, and provides an overview of 10 AI-powered tools he has researched. He highlights Testim, a tool that uses AI for low-code test automation, and emphasizes its visual editor, focus on web and mobile projects, and robust reporting and test case management features.

05:01

🧐 Exploring AI Tools for Visual Testing and Automation

The video script delves into various AI-powered tools, starting with Amplitools, which introduced visual AI testing for comparing screens and identifying layout issues. It also discusses Applitools' integration with popular automation tools like Selenium and Appium. Next, the script introduces Ask UI, a tool capable of automating web to native desktop applications without the need for object IDs or selectors. It also mentions the cross-device automation capabilities of Ask UI. The video then covers other tools like Virtual, which uses natural language for test descriptions and has AI-powered self-healing features, and Mabel, which offers a wide range of features from auto-healing to API testing.

10:02

🛠️ AI Tools for Test Management and Enhancement

The script continues with a discussion on Qurius, a no-code/local testing platform for web, mobile, and APIs, which uses AI to identify and fix broken tests. It also provides a visual map to understand user journeys. The video then touches on Aqua Cloud IO, which uses natural language processing to convert plain text into test scripts and can generate test steps based on descriptions. Perfecto ScriptList, an enhancement of Selenium for AI automation, is also mentioned, along with its no-code approach and AI-powered reporting. Lastly, the script talks about Execute, which offers AI-powered codeless test automation in the cloud, and Functionize, a low-code AI-powered testing platform that uses natural language for test descriptions and visual testing.

Keywords

💡AI-Powered Tools

AI-Powered Tools refer to software applications that leverage artificial intelligence to enhance their functionality. In the context of the video, these tools are used for software testing to automate and improve the process of identifying bugs and ensuring the quality of the software. They are a central theme of the video as the host, Daniel Knott, discusses various AI-powered testing tools available in the market.

💡Testim

Testim is a specific AI-powered tool mentioned in the video that was founded in 2016 and is known for its capabilities in mobile testing. It is highlighted for its record user flows, the ability to recognize repeated patterns, and offer suggestions for low-code test automation. It is also noted for its visual editor for easy test creation and strong reporting and test case management features.

💡Amplitools

Amplitools is recognized in the video as one of the pioneers in visual AI testing. It allows for the visual comparison of screens to define correct layouts and identify design issues. The tool integrates with various test automation frameworks and is used to give feedback on differences spotted by its AI, making it a valuable asset for ensuring consistent user interfaces across different screens and devices.

💡Applitools Eyes

Applitools Eyes is a feature within the Amplitools suite that enables the verification of the current state of visuals in an application. It is used to ensure that the visual representation of the application matches the expected design, which is crucial for maintaining a consistent user experience. It is mentioned in the context of how Amplitools uses AI to assist in visual testing.

💡ASK UI

ASK UI is an AI-powered tool that can automate tasks across various platforms, including web and native desktop applications. It is noted for its ability to find any visible element on a device screen without the need for object IDs or selectors, thus simplifying the process of test automation. The video also references a demonstration of ASK UI automating a two-factor identification flow.

💡Virtual QA

Virtual QA is a tool that uses natural language processing to allow users to describe tests in plain language. This feature is particularly highlighted for its ability to reduce the technical barrier to entry, enabling non-technical team members to contribute to the testing process. The tool also has an AI-powered self-healing feature that adapts test cases to changes in the application, reducing the need for manual adjustments.

💡Mabel

Mabel is an AI-powered tool founded in 2017 that employs a local test automation approach. It is lauded for its wide range of features, from auto-healing to API testing. The tool is noted for its smart element locators, which can be used across different frameworks to build robust tests, and for its integration capabilities with third-party tools.

💡Quirqus

Quirqus is an end-to-end no-code or low-code testing platform for web, mobile, and APIs, founded in 2020. It uses AI to identify and fix broken tests, similar to a self-healing approach. The tool also features a visual map to track and visualize user journeys within an application, which can help testers focus their efforts on the most commonly used paths.

💡Aqua Cloud

Aqua Cloud is a test management platform that has been enhanced with AI functionality since 2022. It uses natural language processing to convert plain text into test cases, thereby allowing users to write tests in a more human-like language. The AI is capable of generating test steps based on descriptions provided by the user, which simplifies the process of creating automated test scripts.

💡Perfecto Script

Perfecto Script, a part of the Perfecto family since their purchase of Testcraft in 2018, is an AI-enhanced tool that aims to improve upon Selenium for AI automation. It promotes a no-code approach, making it accessible for users without extensive programming knowledge. The tool also offers AI-powered reporting and third-party integrations, making it suitable for web and mobile projects.

💡Execute

Execute is a cloud-based AI-powered codeless test automation tool founded in 2014. It is designed to have a low barrier to entry, allowing users to start testing their applications quickly without extensive setup. The tool features AI-powered object handling, which simplifies the process of identifying and working with objects within an application, and it provides an all-in-one solution from automation to reporting.

💡Functionize

Functionize is a low-code AI-powered testing platform founded in 2014. It allows users to describe tests using natural language, making it accessible to a broader range of team members, including product managers and designers. The platform also offers visual testing capabilities and self-healing features, as well as integration with third-party tools for a comprehensive testing solution.

Highlights

AI-powered software testing tools are gaining popularity and are worth investing in for software testers.

Jet GPT has been pushing AI technology to a new level and is a topic of interest in 2023.

Testim, founded in 2016, offers low-code test automation and excellent test management features.

Amplitools' AI is capable of visually comparing screens and identifying differences for feedback.

Applitools has excellent integration with many cast automation tools like Selenium and Appium.

AI2 (AI Squared) can automate everything from web to native desktop applications.

AI2's AI can find any visible element on a device screen without needing object IDs or selectors.

Virtual Test was founded in 2016 and uses natural language to describe tests and has self-healing capabilities.

Mabel, founded in 2017, uses a local test automation approach and offers a wide variety of features including API testing.

Quirqus is an end-to-end no-code or low-code testing platform that uses AI to identify and fix broken tests.

Aqua Alm can turn plain text into test cases using natural language processing algorithms.

Perfecto ScriptList enhances Selenium for AI automation with a no-code approach.

Excelon's Execute offers AI-powered codeless test automation in the cloud with low barrier of entry.

Functionize uses low-code AI-powered testing and allows non-technical stakeholders to describe quality aspects.

Functionize also offers visual testing and self-healing features for automated scripts.

The AI testing tools market is evolving with many vendors incorporating AI functionalities in the last couple of years.

Chat GPT has significantly pushed the AI market to the next level, influencing the testing and development industries.

It's important to use critical thinking when evaluating AI-generated results as they may not always be accurate.

The future of AI in software testing looks promising, with more tools expected to emerge and enhance the industry.