GUI Testing: A Complete Guide

The GUI is the very first thing users see when they interact with your web/application. To do GUI testing is to craft the best first impression for your users.

You can do GUI testing either manually or automatically. Automated GUI testing significantly reduces the risk of false positives.

In this article, we’ll explore the concept of GUI testing, why it’s important, and GUI testing best practices.

What is GUI Testing?

GUI testing focuses on checking the graphical components of an application.

What it tests include:

• Visual elements like buttons, icons, menus, text boxes, windows, etc.
• Layout consistency (alignment, colors, fonts, etc.).
• Functionality of GUI elements (e.g., clicking a button performs the intended action).
• Responsiveness of the graphical interface across different screen sizes.

These are the aspects to be tested of a visual element. For example, we can test if a “Submit” button:

1. Is visible on the screen.
2. Is the correct size, color, and label.
3. Performs the expected action when clicked.
4. Changes appearance when hovered over.

GUI Testing vs UI Testing

Put simply, GUI testing is a subset of UI testing.

Here is a quick comparison table between the 2 testing types for you:

GUI Testing Techniques

At its core, GUI testing, visual testing, or UI testing, all follow a comparison-based approach. More specifically, we compare the current state of the GUI with the expected state. This state is known as the baseline.

There are 2 major GUI testing techniques:

1. Pixel-by-pixel Comparison

With this technique, testers compare every pixel of the current GUI state against the baseline image.

Advantages:

• Highly accurate. It can detect even the smallest visual changes.
• Ideal for static content like logos, icons, and images.

Disadvantages:

• Too sensitive. Minor differences (like anti-aliasing or font rendering) can trigger false positives.
• Not suitable for dynamic content (e.g., animations, ads)

2. Layout Comparison

This technique focuses on comparing the position, size, and alignment of UI elements rather than individual pixels. Usually testers leverage a tool to analyze the DOM structure and compare the layout of elements on the screen.

Advantages:

• Less sensitive than pixel-by-pixel comparison.
• Reduces false positives caused by minor rendering differences.
• More suitable for responsive design testing.

Disadvantages:

• May miss color or style changes if the layout remains intact.

Manual GUI Testing vs Automated GUI Testing

With manual testing, testers manually interact with the GUI just like how a user would to identify bugs.

Pros:

• Human-centric
• Flexible and adaptable to unexpected changes.
• No setup needed. Anyone can start manual testing immediately.

Cons:

• Time-consuming and repetitive.
• Error-prone due to human fatigue.
• Hard to scale for frequent updates.

Have a session of manual GUI testing right here, right now! Take a look at these two photos. There are 11 differences between them. Can you find where those differences are? 

Imagine doing that repeatedly for hundreds of webpages. That is when automated GUI testing comes to the rescue. 

With automated testing, testers leverage visual testing tools or write automation scripts to help them execute predefined tests on the GUI.

Pros:

• Fast and consistent execution.
• Scalable for large test suites.
• Reusable scripts across versions.

Cons:

• High initial setup cost.
• Lacks human insight for UX.
• Dependent on tools with learning curves.

A hybrid approach—manual for UX, automated for regression—is often best.

Read More: Automated Regression Testing: A Complete Guide

Challenges of GUI Testing

GUI testing can be complex due to the dynamic nature of modern interfaces and the variety of devices and browsers.

Common Challenges:

• Frequent UI Changes: GUIs evolve rapidly, making tests prone to break.
• Cross-Platform Compatibility: Ensuring consistent behavior across devices, OSs, and browsers is difficult.
• Dynamic Content: Animations, ads, and real-time updates can cause false positives.
• Tool Limitations: Some testing tools struggle with complex or custom UI components.
• Human Error: Manual testing may miss subtle visual issues or usability problems.

GUI Testing Best Practices

Following best practices can help improve the accuracy and efficiency of GUI testing.

1. Define a Clear Baseline: Establish a reliable baseline image or layout to compare against.
2. Use a Combination of Techniques: Combine pixel-by-pixel and layout comparisons for comprehensive testing.
3. Automate Repetitive Tests: Focus manual testing on UX and exploratory tasks, and automate regression testing.
4. Test Across Devices and Browsers: Ensure the GUI works consistently across different platforms.
5. Handle Dynamic Content Smartly: Use tools that can differentiate between meaningful changes and expected variations.
6. Keep Tests Updated: Regularly update test scripts and baselines to match UI changes.

GUI Testing Tools

1. Katalon

Katalon is an all-in-one quality management software that combines functional and visual testing in one place. Built on Appium and Selenium, Katalon offers AI-powered features to reduce false positives and increase testing accuracy.

How It Works:
Katalon captures your application's critical UI elements and creates a baseline image for comparison. It can detect and ignore dynamic regions (like banners or pop-ups) to avoid false bugs. Katalon also supports cross-device and cross-browser testing, saving time and resources.

Highlighted Features:

• Centralized platform for both functional and visual testing
• AI-powered comparison tools (Layout Comparison, Text-to-text Comparison)
• On-cloud testing across multiple devices
• Self-healing features to maintain automated tests
• CI/CD integrations (Jenkins, GitLab, Bamboo)

Website: Katalon

2. Kobiton

Kobiton is a mobile-first visual testing tool with a user-friendly interface and no setup required. Kobiton captures screenshots during testing, compares them to baseline images, and highlights any layout or color discrepancies. It also offers remediation suggestions to improve your app’s design and user experience.

Highlighted Features:

• Captures screenshots during functional tests for visual comparison
• AI-driven issue detection and recommendations
• No extra charges for visual comparisons
• Scriptless test execution with added parameters and datasets
• Compare your app’s design to competitors in the market
  
  

Website: Kobiton

3. Applitools

Applitools is a leading visual testing tool known for its AI-powered computer vision technology.

Applitools can recognize and ignore dynamic content like ads or personalized dashboards, preventing unnecessary alerts. It integrates with popular test frameworks like Cypress and Selenium, and runs directly within your CI/CD pipeline.

Highlighted Features:

• Applitools Eyes: AI-based visual comparison tool
• Recognizes dynamic content and ignores unnecessary changes
• Integrates with popular test frameworks and CI/CD tools (Jenkins, GitHub, GitLab)
• Bug reporting integrations with Jira and other tools
  
  

Website: Applitools