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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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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. This is where Quality Engineering comes in.

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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. With outsourced QA being expedited through teams distributed across geographies and locations, many aspects that were hitherto guaranteed through co-located teams have now come under a lot of pressure. The challenge is to find the right skill mix.

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Astro emerges from stealth to connect Latin American developers with US tech companies

TechCrunch

Astro , a startup helping companies to build and manage developer teams with talent from Latin America, today exited from stealth with $13 million in Series A funding contributed by Greycroft with participation by Obvious Ventures and other unnamed investors. million by 2030. based tech companies.

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Member of the Band – Manuel Rodriguez, Senior Software Quality Assurance Consultant

Gorilla Logic

Manuel Rodriguez — Senior Software Quality Assurance Consultant. Manuel is a Senior Software Quality Assurance Consultant here at Gorilla Logic. He has been working in Development and Quality Assurance for over 10 years. No seriously, I’m all about local development. Are you Gorilla material?

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Quality Assurance Approach towards Virtual Reality (VR)

Perficient

This reduces the risk of an engineered product failing after a full-fledged development. So, testing the performance of such applications pose a big challenge. 1) Defining the Scope It is very important to define the scope of testing at the start and so the team is well prepared for what is to be expected.

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment. Do they include technical details?