Category

Test maintenance

Rule-based tools report failures. Intelligent systems explain them. Here's what that difference looks like at the moment a test goes red - and why it matters at agent-generated code velocity.

The Difference Between a Tool That Guesses and One That's Seen Your Bug Before

Intent-based testing replaces brittle scripts with outcome statements. Here's what that actually changes about how you write, debug, and maintain tests every day.

What ‘Intent-Based Testing’ Actually Means for How You Write Tests Day to Day

Flaky tests drain engineering time, break trust in CI, and let real bugs slip through. See how AI-native testing solves them at the root.

The Flaky Test Problem: Root Cause and How AI Solves It for Good

Script-based automation was built for quarterly releases. When code ships daily, maintenance inverts: you spend more time keeping old tests alive than writing new ones. Here's how to break out.

Stop Maintaining Scripts. Start Testing Outcomes.

Tests keep breaking? Stop chasing selectors. Discover the AI that uses a 5D element model and 40 specialized models to genuinely self-heal—not just retry.

Self-Healing Tests Aren't Magic: Here's What's Actually Happening Under the Hood

Most QA teams are sitting on test debt they've never measured. Here's a three-step framework to quantify it - before a production incident does it for you.

The Test Debt You Don't Know You Have (And How to Quantify It Before Someone Else Does)

Discover why bolt-on AI tools amplify QA technical debt. Learn how to eliminate maintenance and transform your QA team into strategic quality partners.

The True Cost of Bolt-On AI Testing

Discover the inefficiency of traditional testing and how agentic AI eliminates the need to write code to test code, accelerating quality assurance.

The Absurdity of Writing Code to Test Code: Why Agentic AI is the Solution

Escape the test maintenance crisis. Learn how an agentic AI approach automates diagnostics and enables self-healing tests to boost QA efficiency.

From Test Maintenance Hell to Self-Healing Nirvana

Explore how generative AI transforms test case debugging and diagnosis in software development, enhancing the identification and resolution of issues for more efficient, reliable automated testing.

Diagnosing and Debugging in a Gen AI World

Learn how continuously evaluating and improving software testing triage processes help organizations prioritize and resolve issues to maintain competitive advantages.

Triage Your Tests

Let’s take an in-depth look at the requirements for setting up and managing tests on-prem or in a private cloud vs. using the cutting-edge Functionize Test Cloud.

Running Tests Locally? Read this First

A closer look at parallel execution, which enables modern QA teams to speed up the testing process and improve efficiency.

What is Parallel Execution?

Learn why shorter tests are considered a software testing best practice, for faster, more resilient, and reusable test cases which positively impact your overall testing strategy.

Why Shorter Tests Are Better

Contrary to popular belief, automation can slow down software testing. The key to test faster and increase coverage is to eliminate test debt.

Eliminate Test Debt to Increase Coverage

Automation is intended to cut manual effort of testing, but that’s not always the case. See how automated tests can lead to counterproductive results.

The Counterproductive Nature of Automated Testing

QA managers have a tough job. Here, we explain how using an AI-powered test automation tool can transform things for the better.

What AI test automation means for me as a QA manager

In the final blog in this series on learning to use Functionize, I look at how I can debug and edit my tests while they are running live

Functionize as a User Part 4: Test Management Through Machine Learning

Functionize as a new user 2: Using the Slider View

Functionize 4.0 introduces SmartFix, a powerful feature that helps testers with debugging and fixing broken tests in test maintenance.

SmartFix: 3 ways it solves your test maintenance headache

New Year's Resolutions: how to set realistic targets for test automation

Most people use their own infrastructure in testing. This is fine for manual testing, but it can't scale. This is where cloud-based testing helps you

Cloud-based testing transforms your QA

Selenium reuses CSS selectors to choose elements in the UI. Here, we look at what CSS selectors are and some of the pitfalls of relying on them.

What are CSS selectors and how they are used in Selenium.

Object selection is key to test automation. We show the problems with Selenium's dumb selection and show how smart object selection improves test coverage.

What is smart object selection?

Test maintenance is essential. At Functionize we make it much easier. We leverage AI to reduce the time needed for test maintenance.

Test Maintenance needn’t be hard

A closer look at Functionize's Root Cause Analysis and Self-Heal technology powered by artificial intelligence and machine learning!

Functionize Root Cause Analysis & Self-Heal

Here is the evolution of fixing broken test cases and how Functionize AEA engine is designed to allow fully automated debugging.

The Evolution of Fixing Broken Tests

"A closer look at why QA cycle has become complicated with the widespread adoption of Agile, and how Functionize brings a new technique to automation testing. "

Why Testing Automation Hasn’t Reduced the QA Cycle