AI Test Automation Services to look out for in 2023

If you are looking for the best AI-based testing services, this article is for you!

Numerous software systems are rapidly incorporating artificial intelligence (AI) and machine learning (ML), and as a result, it is more crucial than ever to test these systems effectively. With the advent of AI-based software testing services, testing has become more accurate, efficient, and cost-effective. 

At a time when releases need to be smarter and faster, Intelligent Test Automation is one of the most influential factors in today’s digital and cloud-first market. And the use of AI and ML is a game-changer in the automated testing industry. These platforms use machine learning and natural language processing algorithms to automate the testing process, reducing human intervention and the chances of errors.

Can AI Testing tangibly provide value for businesses? Absolutely, Yes! 

AI and ML can tangibly provide value for software testing businesses in a variety of ways. AI is finally starting to deliver real-life business benefits. Here are some prime examples,

• Healthcare is able to deliver better patient care. 
• The financial sector can deliver quality products while safeguarding sensitive and confidential financial records. 
• The defense sectors conform to compliance and the highest software quality with automated intelligent testing and analytics. 

The AI tools and services can help you automate repetitive, mundane tasks, and improve efficiency across the software delivery pipeline along with the real-time decision-making capability. 

Current AI Testing Trends in 2023

Following are some of the current trends in the AI and ML software testing industry and how they are changing the game for software testing:

As AI and ML become more prevalent in software systems, developers and testers must keep up with these trends and tools in order to ensure the reliability and safety of these systems. 

Criteria for selecting the Best Intelligent Automation Testing Service for You

Before we dive into the services, let’s take a quick look at the parameters you need to consider for selecting a testing service. To evaluate the best fit for your team, you need to understand your business objectives and the differences in solutions offered by each service.

For guaranteed results, here is a list of evaluation criteria that you must ensure your testing service will provide – 

Ultimately, the best intelligent automation service will depend on the specific needs and requirements of the organization or project. By carefully evaluating the above criteria and assessing the capabilities of different services, it will be possible to select the most suitable one for the task at hand.

The Top 6 Intelligent Test Automation Services/Platforms/Tools for You!

Automation testing tools are designed to automate repetitive tasks, reduce human error, and increase the coverage of the tests. However, not all automation testing tools are created equal, and choosing the best one for your organization can make a significant impact on the success of your testing efforts. 

In this article, we will explore the innovative AI Testing services/platforms/tools to look out for going into 2023 that are leading the market, and how they can help organizations to improve the quality of their software while reducing costs.

1. Autify

Autify is a no-code AI-powered software testing automation platform for web and mobile applications. 

The main features of Autify’s platform include:

• Self-healing test automation: Autify’s platform includes self-healing test automation, which allows for the automatic detection and correction of errors or defects without human intervention.
• Ease of use: Designed to be easy to use, even for users with little or no programming experience.
• Cross-browser compatibility: It is compatible with multiple web browsers, including Chrome, Firefox, and Safari.
• Mobile testing: Supports mobile testing, allowing users to test web and mobile applications on multiple devices and platforms.
• Visual regression: Autify’s visual regression automatically detects changes when development quickens and UI changes happen more frequently, enabling you to run tests without maintenance.

2. Mabl

Mabl is an AI-powered test automation platform to easily create, run, analyze, and manage all of your functional UI and API tests.

The main features of mabl’s platform include:

• Test case design: Uses machine learning to automatically create and maintain tests.
• Auto-healing: The platform learns about your application with every test execution, capturing 35+ unique data points, which allows for the automatic detection and correction of errors or defects without human intervention.
• Data Insights: Insights are accessible and adaptable to your testing strategy. Teams can access customized insights in real-time with only a few clicks or a quick hover over a chart. 
• API Testing: You can easily create and manage API tests.
• Continuous testing: Allows you to test continuously, by integrating with your CI/CD pipeline and allows you to schedule tests on a regular basis.
• Integrations: mabl’s platform can be integrated with other tools and services, such as Slack, Jira, and Jenkins.
• Functional and visual testing: mabl’s platform allows to perform both functional and visual testing, by checking the functionality of the web application and also the visual representation of the application.

3. Functionize

Functionize is an intelligent automation tool that combines the power of human insights and machine learning to automate the testing process, reducing the time and cost spent in testing while accelerating product releases. 

The main features of Functionize’s platform include:

• AI-powered test automation: Creates AI-powered tests using Architect or plain English via natural language processing
• Reduces test maintenance time by 85% with self-healing tests
• Smart Element Detection – Eliminates visual test failures quickly & easily. 
• Data Insights – Users can track their automated and manual test results from central dashboards in TestRail. 
• Mobile testing: Supports mobile testing, allowing users to test web and mobile applications on multiple devices and platforms.
• Cloud-based testing: Allows to perform testing on the cloud, by having access to a variety of browsers, devices, and environments.

4. Tricentis Tosca

Tricentis Tosca is a software testing tool that is used for automating and streamlining the testing process. It combines multiple aspects of software testing (test case design, test automation, test data design and generation, and analytics) to test GUIs and APIs from a business perspective. Its codeless, AI-powered approach accelerates innovation across your enterprise by taking the bottlenecks out of testing and the risks out of software releases. 

Some of the key features of Tricentis Tosca include:

• Test case design: Tosca provides a user-friendly interface for creating and managing test cases, with support for data-driven testing and parameterization.
• Test automation: Tosca supports automated testing of a wide range of application types, including web, mobile, and API testing. It also includes built-in support for popular technologies such as Selenium and Appium.
• Continuous testing: Tosca includes functionality for continuous testing, allowing teams to integrate testing into their DevOps workflow and receive feedback on the quality of their software early in the development process.
• Risk-based testing: Tosca includes a risk-based testing feature that allows users to prioritize testing efforts based on the potential impact of a defect on the business.
• Test analytics: Tosca provides detailed test analytics and reporting, allowing teams to track testing progress, identify areas of weakness, and measure the effectiveness of their testing efforts.
• Integration: Tosca integrates with other testing tools, as well as with popular DevOps tools such as Jira, Jenkins, and Selenium Grid.

5. Webomates CQ

The ability to predict defects with artificial intelligence will be one of the most prominent and promising trends in 2023. That’s where Webomates’ patented AI Defect Predictor tool comes in!  You can know your defect in 20 seconds!

Webomates incorporates intelligence into systems and applications throughout the software development lifecycle, along with self-healing capabilities using cutting-edge intelligent technologies. It uses automation tools to help developers work efficiently and with quality.  

They have a set of 14 AI tools available for you! These tools are used throughout the entire life cycle, starting with test case estimation, test case generation, and test model generation, cutting months off the total setup time to just a few short weeks.  

Promising features of Webomates include:

• On demand Regression Testing: The platform is really quick in initiating the regression in just 3 minutes based on the regression type, platforms, attaching the release notes and the target environment selected.
• Test automation: With AI-based automated testing, one can increase the overall depth and scope of tests resulting in software quality improvement
• GUI testing: UI needs to be verified through the thoughtful application of testing techniques. A variety of UI Testing tools and the Galen framework are used for visual testing of applications.
• AI Defect Predictor to detect defects: Quality results from proper defect triaging, reporting, and no noise. The teams can cut their triage time with the assistance of the AI tools, which share a thorough analysis of automation failures.
• Test case Webomates’ self-healing test automation framework uses AI and ML algorithms, allowing the testing scope to be dynamically adjusted to the changes.
• API Testing: It emphasizes the testing of business logic, data responses and security, and performance bottlenecks. It helps you find problems before they become bigger and saves a ton of time.
• Exploratory testing: The main goal of exploratory testing is to determine how a feature functions under various circumstances, which may include using various operating systems, browsers, and/or devices. Combining regression and exploratory testing enables you to carefully examine the potential risks. 

6. Sauce Labs

Sauce Labs provides continuous testing solutions with cloud-based automated testing for mobile and web applications. It enables developers to run their automated tests across desktops, emulators, simulators, and real devices using Selenium, Appium, Espresso or XCUITest.

Some of the key features include:

• Platforms supported: Sauce Labs allows users to run tests in the cloud on more than 700 different browser platforms, operating systems, and device combinations, providing a comprehensive test infrastructure for automated and manual testing of desktop and mobile applications using Selenium, Appium and JavaScript unit testing frameworks. 
• Single platform for 360° UX: Utilizes your current test scripts to get a complete picture of functionality, front-end performance, and visual regressions.
• Test Automation: Offers a Selenium-based automation framework, which allows users to create and run tests using Selenium WebDriver, Appium, and other popular test automation frameworks. 
• Test case design: Allows users to create and manage test cases using a variety of programming languages, including Java, Python, Ruby, C#, and more. 
• Test analytics: Allows teams to track testing progress, spot areas of weakness, and gauge the success of their testing efforts. It offers thorough test analytics and reporting.
• Integration: It integrates with a variety of popular DevOps tools and supports both live and automated testing that is well-designed and suitable for integration into the CI/CD process.

Conclusion 

Choosing the Best Testing Service for You – Automation testing is a crucial step in the software development process, ensuring that your products are of the highest quality and free of bugs before release. However, it can be challenging to choose the best automation testing service for your project because there are numerous options available. You must conduct a detailed analysis in terms of ease of use, reporting, and integration with various tools.

This list is not exhaustive and there are various other automation testing services in the market. Your requirements and project scope will determine the service you prefer. 

If you’ve worked with any of them before, share your thoughts in the comments.

Tags: AI Testing, AI Testing services, Test Automation