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How Digital Twins Accelerate Software Testing
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It’s only recently that digital twin technology has been implemented in software testing – and it’s offering some significant advantages.
The simplest definition of a digital twin is a virtual representation of an object or a system that uses real world data to create simulations, typically with the help of artificial intelligence and machine learning.
Compared to just a few years ago, software testing today is significantly more complicated. Developers face pressure to constantly release software in a complex ecosystem. That’s why digital twins are becoming more widely used in software. An example of this trend is Eggplant Software, which is a technology-agnostic test automation platform that aims to address some of the challenges developers face.
Eggplant, which was acquired by Keysight in 2020, allows companies to test any application, system, or device using a digital twin. To understand why digital twins are needed in software testing, I recently spoke with Jonathon Wright, Eggplant’s Chief Technology Evangelist. Highlights of the ZKast interview, done in conjunction with eWEEK eSPEAKS, are below.
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Zeus Kerravala is an eWEEK regular contributor and the founder and principal analyst with ZK Research. He spent 10 years at Yankee Group and prior to that held a number of corporate IT positions. Kerravala is considered one of the top 10 IT analysts in the world by Apollo Research, which evaluated 3,960 technology analysts and their individual press coverage metrics.
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