What is AI-Augmented Software Testing?

 

In artificial intelligence (AI)-augmented software testing, AI and machine learning (ML) technologies play a key role in ensuring software quality.  AI-driven software testing accelerates test creation, expands test coverage, and helps identify far more defects than a human tester.

The use of AI / ML has led to a monumental shift in the role of testing in the software development life cycle. It has empowered testers with a more accurate, efficient, and flexible solution to the ever-changing requirements of modern software development.

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2024 Gartner® Market Guide for AI-Augmented Software-Testing Tools

Keysight is recognized as a Representative Vendor in the 2024 Gartner Market Guide for AI-Augmented Software-Testing Tools.  
 
According to Gartner®, "Test creation and maintenance is the most-fertile ground for AI-augmentation and one of the areas where we see great innovation and competition." Download the Market Guide to learn the following:
  • Why Keysight Eggplant was named a Representative Vendor 
  • Which areas of software testing benefit the most from AI
  • Benefits and risks that come with AI-augmented software testing

Automate UI Testing with Advanced Computer Vision

Testing software at the user interface (UI) level is challenging to maintain at scale. Advances in AI / ML technology, such as advanced computer vision, enable AI to “read” what is on the computer screen, scanning the interface for text, visual elements, buttons, fields, values, and colors. This process tests from the user’s point of view and enables testers to spot UI glitches before customers can.
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Catch Defects Early with Exploratory Testing and Predictive Analytics 

Using AI in software testing enables early defect identification. Validating user experience (UX) and customer experience can be complex and time-consuming with traditional functional test solutions. Exploratory testing using AI / ML enables quality-assurance teams to test all possible user journeys. This method enhances software quality and helps expose vulnerabilities  early in development, before they reach production. 

Test the Entire Digital Experience with a Model-Based Approach Powered by AI

Model-based software testing shifts the focus from basic code compliance to the overall UX. When paired with AI, model-based testing expands test coverage to all possible user journeys. Keysight Eggplant uses AI / ML algorithms to generate exploratory tests that simulate user journeys. All you need to do is build a simple model of the interface, and Eggplant applies AI reasoning to auto-generate the test cases for you.

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Innovating with AI: How Keysight Provides Value to Customers

Al is fundamentally reshaping all industries. The strategic importance of AI lies in its ability to unlock new opportunities, drive innovation, and enhance operational efficiency for our customers, Keysight, and society as a whole. At Keysight, we use AI for internal product development and to increase insight and productivity.

Read our executives’ perspectives on Keysight’s AI strategy.

Frequently Asked Questions - AI Software Testing

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