Generative AI in Software Automation Testing
One question that often comes up when discussing Generative AI is: What are the real use cases of Gen AI in Software Automation Testing? Can Gen AI truly assist with automation testing, and if so, when and how can you leverage its potential in your work?
In this post, we’ll explore how Generative AI can be applied to Software Automation Testing, starting from the basics and working our way up.
What is Generative AI?
Generative AI refers to a class of artificial intelligence models designed to generate new, original content or data based on the input it receives. It can create text, images, music, and even code, which makes it powerful across various fields.
Gen AI has various Models and they are in high-level, classified as this
From the above diagram, its evident that, LLMs (Large Language Model) are the area that we should be focusing on for our Software Testing, as it help us in generating
- Automated Test Code,
- Test cases,
- Scenarios,
- Test Plans and Traceability Matrix and more…
Generative AI in Manual Testing
Generative AI can significantly enhance the process of writing manual test cases by quickly understanding complex requirements and generating relevant test scenarios using its vast knowledge base.
Leveraging Grounded Models, you can ask context-specific questions, and the AI provides responses that are both contextually aware and informed by its retrieved data, a technique known as Retrieval Augmented Generation (RAG).
Using RAG, we can write
- Test Plans
- Test Cases
- Test Design
- Verify Requirement with Traceability Matrix
Generative AI in Automated Testing
As Large Language Models are very good in Coding, we can use the power of LLMs to write and understand better Test automation code.
LLMs understand Popular Automation testing tools like
- Cypress
- Playwright
- Selenium
- TestCafe
LLMs can also help us refactor the Test code, Utilities, Page Object Model code and even explain a piece of code that we dont understand for some reason from the existing old project test code
Generative AI in Automated Testing — Use Cases
There are several tools in the market which harness the power of Gen AI such to run test automation code such as
- TestRigor
- ZeroStep
- AutoPlaywright
- Applitool
- EggPlant etc
These tools enable teams to create robust test automation scripts without the need for complex coding or building extensive test automation frameworks. By using Generative AI, these platforms simplify the process of writing, maintaining, and executing test cases, allowing testers to focus on verifying application functionality rather than dealing with the intricacies of code.
For instance, AI-driven test automation tools can automatically generate test scenarios based on application behavior, user interactions, or predefined specifications. They also offer intelligent test maintenance by updating scripts when the application’s UI changes, drastically reducing the overhead for testers. With features like visual testing, cross-browser compatibility, and the ability to create tests through natural language inputs, these tools make testing more efficient, accessible, and user-friendly.
This AI-powered approach transforms traditional testing methods, offering faster feedback, higher test coverage, and a more efficient path to ensuring software quality across different platforms
GenAI in Software Testing Course
Most of the above discuss is just a slice of the topic we have discussed in my new course in Udemy on “Using Generative AI in Software Automation Testing”
Here is the course content
The course is currently available for discount in Udemy as the launch offer, please use coupon code EA_OCT_24 for discount while purchasing the course.
If the coupon code is expired, please feel free to comment on this post, I will send you the latest available coupon code.
