AI eats the world. You may have heard of self-driving cars or automated business robots, but there’s another area where AI is having a monumental impact: software testing.

This article will explain some of the many benefits of using AI to improve your software testing processes. These tools will turn your team into a highly functional team that can do better quality work than without them. Let’s get started.

Benefits of AI in software testing

# 1 Faster test creation

Most people use Selenium to create their tests. It’s a great framework, but it can take hours to do even the simplest of tests. Not only that, but you will have to translate this test for all the different browsers on the market. Now you have a project that could take days to complete.

If you are using an AI testing framework, you create tests by clicking on the step by step test case. Often there is no need to write any code. Now you can create tests in minutes rather than hours or days.

# 2 Democratize the creation of tests

AI testing frameworks are a combination of low-code and no-code tools. Using them turns everyone in your business into a tester. Gone are the days of creating dozens of simple little tests that others have requested. AI tools have automated this, so anyone can develop such tests on their own. Your QA team can now focus on the more complex tests that cannot be performed with such tools.

# 3 Learn from the mistakes of others

AI models need a lot of data to train. If you were to build your own models with your business data, they would be quite effective. But, as the saying goes, there is no data like more data. Using an AI testing cadre trained on millions of product tests across various industries means these models perform incredibly well and can make suggestions even you might not have thought of. It’s like having the power of thousands of expert developers at your fingertips.

# 4 Automatically create new tests

Instead of writing all of your tests by hand, let the AI ​​automatically create tests for you. For example, the model learns how long each page should take to load and chooses a smart wait time before its first interaction. If the page suddenly takes longer to load, the model reports this as a failure. This is just one example of a test that the AI ​​automatically creates for your suite.

# 5 Self-healing tests

If you use Selenium and change the name of a selector, the script either fails immediately or continues with the wrong item. Neither of these options is good.

AI models learn what your site is supposed to look like. If an item changes or moves, it understands what happened and selects the correct one. For example, if you move your “Join Now” button to the bottom of the page and change the text to “Join Now”, it understands what you did and still selects it. Even though the site changed, the test still passed without you needing to do anything i.e. it healed on its own.

# 6 One-click fixes

If you remove a button entirely or change each option in a drop-down menu, even an AI-powered test will fail. However, thanks to the millions of tests the model was trained on, the framework realizes that there is a problem and suggests possible things that may have changed. Thus, it presents you with a list of potential problems and solutions. All you have to do is click on the correct option, and it updates the whole test for you. Say goodbye to wasting time writing similar bugfixing code. One click and you’re done.

# 7 Reduce test maintenance time

The combination of self-healing and one-click remediation tests equates to a significant reduction in the time spent on test maintenance. Everyone hates it, and it’s the bane of every QA’s life. A QA engineer spending hours and hours on test maintenance will be demotivated and will likely seek employment elsewhere. Reducing the time they spend on this task will increase their job satisfaction and result in team members who enjoy their jobs and want to stick around for the long haul.


Testing used to be a largely manual endeavor. Yes, it involved writing code, but it was fragile and prone to errors whenever something changed in your product. But we have entered a new era: the era of AI. Now anyone can write tests with little or no coding knowledge. You can set them up in minutes rather than hours or days, you can fix issues with one click, and you can do it all while boosting your team’s motivation and increasing test coverage. All of these benefits combine to make AI testing an incredible addition to your workflow.

Rajani baburajan



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