When the A.I. is testing the software.
Posted: Tue Jun 03, 2025 5:33 pm
Is it possible that in the future A.I. is testing our software code?
Interested in how Artificial Intelligence is starting to do the work of software testers? Below are top websites and blogs that explain how AI tools are used to test software, detect bugs, generate tests, and more — including their benefits and limitations.
When AI Starts Testing Your Software (Automatically):1. Tricentis – AI in Software Testing
A detailed explanation of how AI is being used for test case generation, UI testing, and test suite optimization. Practical and clear.
2. Test.ai
A platform using AI to automatically test mobile and web applications — it simulates real users and adapts tests as apps change.
3. Medium – Test Automation Talk
Many articles here cover AI-powered testing tools, self-healing tests, and how models can detect flaky tests or UI changes.
4. BrowserStack – AI in Test Automation
Goes into how AI helps in visual testing, element detection, and speeding up regression testing with smarter algorithms.
5. Katalon Blog – AI and Test Automation
Covers both opportunities and risks: how AI can help find bugs faster, but may also struggle with context-sensitive logic.
Supporting Tools & Hybrid AI Testing Approaches:6. JaCoCo
While not AI itself, JaCoCo is a popular Java code coverage tool often used alongside AI test generators to validate test effectiveness.
7. Diffblue Cover
Uses AI to automatically write unit tests for Java code — particularly useful in legacy systems where writing tests is costly.
8. Functionize
An AI-powered test automation platform that learns from your app and adapts tests without coding.
Ethics, Limits & Discussion:9. InfoQ – AI for Software Testing: Pros and Cons
Excellent balanced overview: when you should use AI for testing, where it helps (speed, scale), and where caution is needed (logic gaps, data bias).
Summary:
AI is rapidly entering the world of software testing — from writing unit tests to automating UI tests and detecting anomalies. But like any tool, it’s not magic. These resources help you understand where AI testing shines, where it fails, and how to integrate it responsibly.