3 AI testing tools for enterprise companies
Best practices Management
9 mins read
January 2, 2024

3 AI testing tools that Enterprise companies can’t ignore in 2024

Artificial intelligence got mainstream again in 2023. Enterprise AI testing software, however, has been on the market for years. Let’s look at 3 distinctive solutions that will give your software people an ample boost in productivity.

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Robert Weingartz
Denis Matusovskiy

As a preface, we believe it’s not just artificial intelligence features that you should consider when exploring enterprise AI testing tools. If you pick a tool with sufficient AI functionality yet lacking in general QA, you will have to work in at least two tools. Integrations with your other tool is a major consideration as well.

aqua

AI features: Test case generation, test steps, test description, test prioritisation, duplicate removal

aqua is the most mature solution on the list. Launched in 2013, it is an Application Lifecycle Management tool with a heavy emphasis on quality assurance functionality. The tool is developed by andagon GmbH, a German vendor and IT consultant with over 20 years of experience.

Benefits

  • aqua offers unique functionality among AI testing tools for business. It uses artificial intelligence to speed up testing in general rather than just automated QA. This means that aqua will start making a difference faster and at a bigger scale. You won’t have to do lengthy training to see the benefits nor limit them to automated QA specialists only
  • aqua lets you tune the level of AI involvement. If you’re ready to live on the bleeding edge, aqua can generate entire test cases for you from plain text. This works well, but often still requires human tweak before adding the test into your suite.

    Alternatively, you can let aqua speed up the routine while doing the bulk of the job. aqua can auto-create test steps based on description or do the opposite — auto-create description based on test steps. It can even do the chores, i.e. remove duplicate test cases or prioritise tests within your test suite. 
  • aqua AI understands your project. If you look into ChatGPT’s capabilities, you know it can generate code reasonably well. There is one major problem: ChatGPT does not know your project. aqua also uses the machine learning model behind ChatGPT, but that model is applied to your code and existing tests. This is what makes aqua AI’s output personalised and thus relevant.
  • aqua is an otherwise feature-rich product. It is an Application Lifecycle Management tool that can do what some teams use five tools for. aqua is superb at quality assurance, but it is also great for any software development and project management needs. 12+ native integrations and REST API pave the way for great synergy with third-party software. 

Disadvantages

  • aqua is not among low-code tools for test automation. While it’s another way for organisations to do more with fewer resources, aqua does not offer a simplification layer for test automation. 
  • aqua is the latest tool to launch AI functionality on the list. The solutions below have been working on artificial intelligence for longer, even if that doesn’t always result in better or vaster functionality.

See why aqua AI is disrupting the market

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ACCELQ

ACCELQ

AI features: Test case generation, self-healing tests

ACCELQ is a major player among codeless AI testing tools for enterprise companies. It lowers the entry barrier for test automation for both aspiring QA specialists and business stakeholders. The American entity behind ACCELQ was founded in 2014.

Benefits

  • ACCELQ has dedicated tools for different domains. The company offers solutions for web, API, and mobile testing automation. Manual testing can be enhanced with yet another separate solution or alongside automated tests in ACCELQ Unified.
  • ACCELQ comes with great compatibility. No-code tests cover React, AngularJS, and a respectable number of less popular frameworks. It also builds off Selenium, an open source test automation framework that existed for two decades and will likely outlive all tools on the list by at least as much.
  • ACCELQ brings a business-driven approach to quality assurance. It integrates with Salesforce to automatically create self-healing tests. It provides a lot of templates to cover common use cases with automated tests. It streamlines testing between iOS and Android so you’re verifying the general mobile experience rather than two different solutions.

Disadvantages

  • Usage quirks and some performance deficiencies are widely reported by users. Some are frustrated with failing tests when using multiple automation agents. Others reported that there is still no functionality to move work between projects as of late 2022.
  • Documentation is another frequent concern. Despite a lot of recent effort, documentation requirements are simply higher for tools that target people with little tech experience. Luckily, the knowledge centre is public and you can see if it is enough for you to handle the trial version of ACCELQ solutions. 

Testim

Testim

AI features: Test case generation, record and playback testing, self-healing tests

Testim is a leader in AI testing for user interface testing. It was boosted by Microsoft’s accelerator programme in 2016 and recently acquired by the test automation giant Tricentis.

Benefits

  • Testim learns from your application. The tool’s artificial intelligence studies patterns and individual decisions made during implementation. Unlike aqua, Testim uses this information to maintain tests rather than create them.
  • Testim emphasises stability. It comes with self-healing tests, error aggregation and even solution ideas for problems, and network mocking to decouple troubleshooting from third-party services. 
  • Testim is highly scalable. It can run the same tests on different browsers, and that naturally includes emulating different resolutions of various devices. You’re free to use Testim’s own grids, employ standardised Selenium-compatible grids, or even go for something third-party.

    On a similar note, Testim integrates extremely well with other QA and software development tools. Apart from common Jira/Slack/Jenkins integrations, Testim can exchange data even with competitors like Applitools.

Disadvantages

  • App performance reportedly can degrade with a large test case. This is counterintuitive to why you would use a test automation tool, so do check if that’s a problem with Testim’s free trial.
  • Pricing gets unpredictable, especially early after adoption. You pay for test grids rather than licences, and it can be hard to tell how many you will need. This is even more of a problem if you’re new to AI-assisted UI test automation or automated QA in general.

What tool to choose?

There is no definitive answer, and this article doesn’t try to do an awkward apples-to-oranges comparison just to pick “a winner”. All three tools serve a distinctive purpose:

  • aqua is a rapidly developing solution that uses AI to save you time on QA across the board
  • ACCELQ targets no-code teams to make software testing as seamless as modern no-code development can get
  • Testim adds the AI flavour to the highly competitive niche of UI test automation tools

Sorry to sound bland when talking about exciting AI tech, but you do need to pick the tool that fits your needs best.

Conclusion

AI test automation got more attention thanks to ChatGPT, but it existed long before it. There are several niches that match a lot of use cases. Unlike in some markets, it is trivial to find an AI-powered solution from established vendors.

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FAQ
Which is the best AI tool for testing?

The answer depends on your needs. aqua is the best solution to speed up test creation and management. ACCELQ is a market leader for codeless automation. Testim is the tool to pick for automated UI testing. 

What is enterprise test automation?

Enterprise test automation is the effort to minimise manual quality assurance workload in large companies. It can be done through traditional automation methods, such as employing the Selenium framework to imitate human input at scale. The modern approach, however, is applying artificial intelligence to improve automated tests and, more recently, amplify manual testing.

What are the types of test automation?

Test automation can generally be classified by the types of testing (performance, web, UI, etc.) or the types of test automation frameworks that differ in entry requirements and output among other things.

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