Digital Twins in Software Testing and the Elusive Replica of Human Expertise

In this episode, we dive deep into one of the most provocative questions in the world of digital transformation: can AI-powered digital twins ever replicate the mind of a human software tester?Digital twins have transformed industries like aerospace, manufacturing, and healthcare. Now, the software world is asking whether we can virtualize not only the systems under test but the testers themselves. But behind the hype lies a set of cognitive, ethical, and technical challenges that most conversations avoid.From the promise of predictive QA environments to the failures of autonomous testing agents, this episode explores:What digital twins are and how they’re being applied in software testingWhy replicating human intuition, doubt, and risk awareness is so difficultLessons from other industries that have implemented digital twin technologyThe cognitive blind spots AI still can’t seeReal-world data points, ethical dilemmas, and a grounded vision for the futureIf you work in quality assurance, AI, software development, or digital strategy, this episode will challenge your assumptions and offer a fresh lens on where digital twins truly fit in—and where they do not.Support the showThanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Got a Question? Send us your thoughts or topics you'd like us to cover at [email protected]

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