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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 worked in marketing automation. Unit testing has become a widespread practice. But what about AI?

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Containerization: Better Quality Assurance Through Automation

Datavail

Quality assurance” (QA) refers to the procedures for verifying that a software application meets the defined standards, auditing, and evaluation of a product at each stage of development—from requirements gathering all the way through testing and maintenance. But how can containers improve your QA processes as well?

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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.

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How to Leverage Quality Assurance & User Acceptance Testing

Sunflower Lab

Testing for Product Success There are three components critical to the success of a project’s success, which rings true, especially for software development. These components revolve around testing, quality assurance, and user acceptance testing. What is Quality Assurance? What is User Acceptance Testing?

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How to Leverage Quality Assurance & User Acceptance Testing

Sunflower Lab

Testing for Product Success There are three components critical to the success of a project’s success, which rings true, especially for software development. These components revolve around testing, quality assurance, and user acceptance testing. What is Quality Assurance? What is User Acceptance Testing?

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Five Metrics to Track the Performance of Your Quality Assurance Teams and the efficiency of your Quality Assurance strategy

Trigent

Why Quality Assurance and Engineering? A product goes through different stages of a release cycle, from development and testing to deployment, use, and constant evolution. Organizations often seek to hasten their long release cycle while maintaining product quality. Developing a sound Quality Assurance (QA) strategy.

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Quality Assurance outsourcing in the World of DevOps-Best Practices for Dispersed (Distributed) Quality Assurance Team

Trigent

Why Quality Assurance (QA) outsourcing is good for business. Additionally, it is essential to note that DevOps is the preferred methodology for software development and release, with collaborating teams oriented towards faster delivery cycles augmented by early feedback. The challenge is to find the right skill mix.