What Are Self-Healing Test Scripts?

In the world of software testing, automation has become essential. But even automated tests can break—especially when small changes happen in the application’s code or design. This is where self-healing test scripts come in.

If you’re new to software testing, don’t worry. This blog will explain self-healing test scripts in the simplest way possible.


🔍 What Is a Test Script?

Before we understand self-healing, let’s cover the basics.

A test script is a set of instructions written in a programming or scripting language that tells an automation tool (like Selenium) what to do. For example, it can click a login button, type a username, or check if a page is loading correctly.


🚨 What Is the Problem With Traditional Test Scripts?

Let’s say your test script clicks a button on a webpage. It works perfectly. But the next day, the developer changes the button’s name or moves it to a different place. Now, your test script fails—even though the button is still there.

That’s the problem: traditional test scripts are fragile. They break easily when the app changes, even just a little.


What Are Self-Healing Test Scripts?

Self-healing test scripts are smart test scripts that automatically fix themselves when small changes happen in the app.

Instead of breaking, they try to find the updated element (like a button or link) on their own and continue the test.

Think of it like this:
If a person can’t find the “Submit” button, they might look around and still recognize it by size or color. A self-healing script does the same thing—using logic or AI to “guess” what changed and keep running.


🧠 How Do Self-Healing Scripts Work?

Self-healing uses AI, machine learning, or backup locators to detect UI changes. Here’s a simple breakdown:

  • 🔹 Primary Locator Fails: The script can’t find the button using its original code.
  • 🔹 Backup Locator Tries: It checks other properties (like button name, type, or position).
  • 🔹 Machine Learning: Some tools remember past changes and predict what the new element looks like.
  • 🔹 Healing Happens: If it finds the right element, the test continues instead of failing.

⚙️ Popular Tools That Support Self-Healing

  • Testim – AI-based automation testing with self-healing built in.
  • Katalon Studio – Supports self-healing with multiple backup locators.
  • Functionize – Uses machine learning to adjust tests automatically.
  • ACCELQ – AI-powered test automation that adapts to app changes.

💡 Why Do Testers Love Self-Healing Scripts?

  • ✅ Fewer test failures from minor UI changes
  • ✅ Less maintenance work for QA engineers
  • ✅ Better test stability in agile environments
  • ✅ Saves time and reduces frustration

🏁 Conclusion

Self-healing test scripts are like smart assistants for QA teams. They keep tests running even when apps change a little, making automation more reliable and beginner-friendly.

If you’re starting your career in testing, learning about self-healing tools can give you a major advantage in modern test automation.

What Is Shift-Left and Shift-Right Testing? Explained Simply

In the world of software development, two popular testing strategies are gaining attention: Shift-Left Testing and Shift-Right Testing. These terms may sound a little technical, but don’t worry! In this blog, we’ll break them down in a very simple way.


🔄 What Do “Shift-Left” and “Shift-Right” Mean?

Imagine software development as a timeline — it starts with planning and ends with releasing the product to users.

  • Left side = Early stages like planning, designing, and coding
  • Right side = Later stages like deployment, user feedback, and maintenance

So when we say:

  • Shift-Left Testing ➜ Move testing earlier in the process
  • Shift-Right Testing ➜ Continue testing after release into production

🧭 Shift-Left Testing: Catching Bugs Early

What is it?
Shift-Left means testing begins before the software is fully built. It’s like checking your ingredients while cooking instead of waiting until the dish is finished.

Why is it useful?

  • Bugs are cheaper and easier to fix early
  • Developers get faster feedback
  • Improves product quality from the beginning

Common Practices:

  • Unit testing
  • Static code analysis
  • Test-driven development (TDD)
  • Continuous integration testing

Example:
A developer writes test cases while writing the code itself. If anything breaks, it’s caught immediately.


🧭 Shift-Right Testing: Keeping an Eye After Launch

What is it?
Shift-Right means testing continues after the software is released. Think of it as checking how your car performs on the road, not just in the garage.

Why is it useful?

  • Real users often behave differently than testers
  • Helps monitor performance in real-world conditions
  • Allows testing for scalability, reliability, and security

Common Practices:

  • A/B testing
  • Real user monitoring (RUM)
  • Synthetic testing
  • Chaos engineering

Example:
A website team monitors how users interact with a new feature after it’s live. If something slows down, they catch and fix it quickly.


🔍 Shift-Left vs Shift-Right: What’s the Difference?

FeatureShift-Left TestingShift-Right Testing
Focus TimeEarly (during development)Late (after release)
Main GoalPrevent bugs earlyDetect issues in production
Tools UsedUnit tests, CI pipelinesMonitoring, A/B testing
Feedback FromDevelopers, QA teamsEnd users, system logs

✅ Which One Should You Use?

Both!
The best teams use Shift-Left to build quality and Shift-Right to ensure reliability in the real world.

Just like a good chef tastes while cooking (left) and gets feedback after serving (right), a smart software team tests both before and after release.


🧠 Final Thoughts

Shift-Left and Shift-Right testing aren’t buzzwords — they’re smart strategies to create better, faster, and safer software. By adopting both, you catch problems early and keep learning from real-world use.

Quality isn’t just a step — it’s a journey from start to finish.