How to generate tests with AI?

General Discussions
1

What is AI-based test generation? Can someone explain how to generate tests with AI?

2

Hi Tim,

AI-based test generation leverages machine learning algorithms to create test cases automatically based on user-provided data, workflows, or system behavior analysis.

For more details, you can refer to the below blog:

3

Some tools, such as Test.ai and Mabl, use artificial intelligence to automatically generate, execute, and maintain tests. These tools analyze your application and user interactions, and then automatically generate test scripts that are optimized for continuous testing.

  • Test.ai: This AI tool captures patterns in your app, including visual elements and user flows, and generates automated tests. It uses machine learning to adapt to changes in your app’s UI and logic, improving test reliability over time.
  • Mabl: Mabl combines AI with test automation to generate end-to-end tests based on your application’s behavior. It can automatically adjust tests when UI elements change, making it easy to maintain automation over time without writing extensive test scripts manually.
4

GPT-based models, such as OpenAI’s GPT-3, can be used to generate test scripts based on natural language descriptions.

By feeding the model with test requirements or user stories, it can produce relevant automated test code in frameworks like Selenium, Playwright, or Cypress.

You can provide simple inputs such as “create a test that logs in and verifies the user dashboard,” and the AI model can generate the corresponding test script.

Example:

Input: “Generate a test case for logging into the website using username and password, and verify the user is redirected to the dashboard.”

Generated Output: The model might generate a Python-based Selenium test script, saving time on writing repetitive test code. This method can help quickly create scripts for common workflows and allow manual refinement later.

These AI-driven solutions can significantly reduce the effort needed to write and maintain tests, while also improving test coverage and adaptability.