Keysight Technologies unveils AI tool that slashes test automation maintenance by 92 percent

Keysight launches AI-powered test automation tool By Investing.com

SANTA ROSA, Calif. - Keysight Technologies Inc. (NYSE:KEYS) announced today the release of Eggplant Find by Description, a software tool that allows automation engineers to locate interface elements using text descriptions instead of screenshots. The $52.8 billion test and measurement equipment maker has seen its stock surge 89% over the past year, though shares declined roughly 8% this past week. The company generated $6.09 billion in revenue over the last twelve months, posting strong growth of 19% as demand for its software quality engineering solutions accelerates. The tool uses a computer vision AI model to identify user interface elements based on plain-language descriptions, according to a company press release. Tests target elements by description rather than visual appearance, enabling them to continue functioning through design changes, theme updates, and resolution modifications. The software is part of Keysight's Eggplant Studio and Eggplant Functional products. Engineers can describe an element, such as a ticket price for a specific date, and the software locates it without requiring screenshots, document object model access, or modifications to the system being tested. In a company demonstration, the tool reduced script volume by 92 percent and decreased task completion time from over an hour to under 15 minutes. The technology works across legacy desktop, embedded, and web applications. The release addresses maintenance requirements for image-based test scripts, which break when interfaces change even when underlying software functions correctly. The company stated that half of organizations consider script maintenance a primary barrier to test automation. "Our goal is to help teams automate more of their testing. However, for too long, the maintenance burden has held that back," said Gareth Smith, Software Quality Engineering General Manager at Keysight. "Keysight Eggplant Find by Description clears one of the biggest barriers, moving us toward a future where teams automate what they want, not only what their tools allow."The product launch comes as analyst sentiment remains positive on Keysight, with 13 analysts recently revising their earnings estimates upward for the upcoming period, according to InvestingPro data. The stock currently trades at a P/E ratio of 49.78, and InvestingPro analysis indicates the shares are overvalued relative to its Fair Value estimate. Investors can access the company's comprehensive Pro Research Report, one of 1,400+ available for top US equities, along with 15 additional ProTips on the InvestingPro platform. The tool aims to reduce time spent on authoring and maintaining tests, allowing engineers to expand test coverage. It also enables automation of tasks that previously required manual testing when image matching was the only available option. In other recent news, Keysight Technologies Inc. completed its acquisition of VPIphotonics, enhancing its photonic design automation portfolio with system-level simulation capabilities. This move allows optical and electrical engineers to advance designs from component to complete link within a unified environment. Furthermore, Keysight has joined the Siemens Digital Industries Software Technology Partner Program, offering customers access to its AI-driven test automation solution, Eggplant Test, for validating digital engineering and product lifecycle management environments. Keysight Technologies also announced support for GlobalFoundries' silicon photonics process technology within its Advanced Design System Photonic Designer software, enabling engineers to design photonic integrated circuits and simulate optical link performance. Additionally, Keysight, in collaboration with WIN Semiconductors, launched a joint gallium nitride (GaN) monolithic microwave integrated circuit (MMIC) design workflow. This new system connects on-chip multi-domain simulation, 3D layout with verifications, and off-chip MMIC evaluation board design into a single environment, targeting companies developing GaN MMICs for various applications such as 5G base stations and defense radar systems. These developments reflect Keysight's ongoing efforts to expand its capabilities and partnerships in the technology sector. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Keysight Technologies Announces Keysight Eggplant Find by Description

Keysight Technologies, Inc. announced Keysight Eggplant Find by Description, which allows automation engineers to locate interface elements by describing them rather than capturing and matching screenshots. Each test targets an element by its description rather than its visual appearance, enabling it to keep running through redesigns, theme changes, and resolution shifts. This removes the manual recapture work that has historically wasted engineering resources. Find by Description uses a computer vision AI model to locate UI elements from plain-language descriptions. Half of organizations believe a chief test automation barrier is the upkeep of scripts that fail as applications change. Maintaining image-based scripts is a hidden cost, as they break when the interface shifts, even when the underlying software runs correctly. Engineers then spend hours recapturing screenshots for cases that should still pass, a cycle that repeats across every release and environment. With Keysight Eggplant Find by Description, part of Eggplant Studio and Eggplant Functional, an engineer can describe an element, such as a ticket price for a given date, and the software locates it without reference to screenshots, document object model access, or changes to the system under test. In a Keysight demonstration, this reduced script volume by 92% and cut the task from over an hour to under 15 minutes. This extends Keysight Eggplant's use of AI and computer vision in test automation, which lets a description keep working as the design changes and applies across legacy desktop, embedded, and web applications. Key benefits include: Tests that survive change: Descriptions hold up through redesigns, theme updates, and resolution shifts, so automation no longer breaks whenever the interface changes. Less time on authoring maintenance tests: Hours spent writing scripts and fixing broken tests can now be used to expand coverage. Manual tasks automated: When image matching was the only option, testing was manual; now tests can run automatically using text descriptions.