DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • AI-Driven Test Automation: Future of Software QA
  • Advancements in Mobile App Testing: Harnessing AI's Potential
  • Top Five AI-Powered Tools for Test Automation
  • Cypress.io — The Rising Future of Web Automation Testing

Trending

  • How to Practice TDD With Kotlin
  • While Performing Dependency Selection, I Avoid the Loss Of Sleep From Node.js Libraries' Dangers
  • A Guide to Container Runtimes
  • Solid Testing Strategies for Salesforce Releases
  1. DZone
  2. Testing, Deployment, and Maintenance
  3. Testing, Tools, and Frameworks
  4. Top Five Tools for AI-based Test Automation

Top Five Tools for AI-based Test Automation

Discover more about AI-powered test automation tools and how they will help your team be more efficient, accurate, and transparent.

By 
Tania Zhydkova user avatar
Tania Zhydkova
·
Jan. 20, 23 · Opinion
Likes (1)
Comment
Save
Tweet
Share
4.8K Views

Join the DZone community and get the full member experience.

Join For Free

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!

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 program 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 visualized 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 visualization and integration. Still, as a result of speeding up how quickly tests can be executed, overall, this could save you time.

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

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.

AI API testing Test automation Testing

Published at DZone with permission of Tania Zhydkova. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • AI-Driven Test Automation: Future of Software QA
  • Advancements in Mobile App Testing: Harnessing AI's Potential
  • Top Five AI-Powered Tools for Test Automation
  • Cypress.io — The Rising Future of Web Automation Testing

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!