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Quality Assurance, Errors, and AI

O'Reilly Media - Ideas

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. I’m skeptical, at least for the present.)

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Mobot secures capital to grow its fleet of robots that bug-test mobile apps

TechCrunch

Presently, Mobot is not positioning ourselves as a competitor or replacement for emulators and automated testing. Rather, our goal is to replace the inevitable manual quality assurance that everyone is still having to do and will increasingly have to do as device fragmentation grows in the next five to ten years.”

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Perficient Quality Assurance Directors Present at the 2023 QA or the Highway Conference

Perficient

Last month, Sylvia Sesostris, Director of QA, and I gave a presentation on Perficient’s journey with continuous improvements in Quality Assurance using Predictive Analytics and real-time dashboards at the 2023 QA or the Highway Conference in Columbus, Ohio. I am Latha Rao Uppugonduri, Director from the Detroit BU.

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How to Conduct User Acceptance Testing: Process Stages, Deliverables, and End-User Testing Place in Quality Assurance

Altexsoft

When conducting various quality assurance activities , development teams are able to look at the product from the user’s standpoint. What is user acceptance testing and how is it different from quality assurance? Traditionally, quality assurance engineers will be responsible for end-user feedback processing.

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The Future of QA: The Role of Testers Is Rapidly Evolving

Dzone - DevOps

What does the current brave new world we live in have to say about the past, present and — more importantly — the future of quality assurance (QA)? Voice assistants, VR, and the Internet of Things are exciting trends that bring as much uncertainty as they bring potential. What about the testing front?

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

BQA oversees a comprehensive quality assurance process, which includes setting performance standards and conducting objective reviews of education and training institutions. For those interested in exploring the technical details further, the full code for this implementation is available in the following GitHub repo.

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The Critical Role of Quality Assurance in the Evolving Automotive Industry

Perficient

With the rise of autonomous driving and electric vehicles, the intricacies of these systems have reached new heights, making quality assurance more critical than ever. As the industry embraces agile development and continuous integration, QA needs to be present from the concept phase through every iteration even more.