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

CIO

It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment. The problem is complicated here by the following factors : Business analysts have neither a technical background nor an understanding of IT architecture.

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Quality Assurance Approach towards Virtual Reality (VR)

Perficient

Architecture – VR possibilities in architecture are second to none. There are numerous options to adopt VR in architecture like rendering architectural models, urban planning, landscaping, mapping etc. So, testing the performance of such applications pose a big challenge.

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Microservices Resilient Testing Framework

Dzone - DevOps

As organizations increasingly embrace the microservices approach, the need for a resilient testing framework becomes important for the reliability, scalability , and security of these distributed systems. What Is MRTF? In embracing a holistic and collaborative approach, let’s start by explaining the cornerstones of MRTF.

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Quality Assurance (QA) Testing & the Business Impacts of Software Quality

Gorilla Logic

Quality Assurance (QA) testing, as a function of a cross-functional Agile development team, can help strike that balance. For 81% of companies, downtime related to these same quality issues can cost more than $300,000 per hour ( Tricentis ). Test planning. Test design and environment setup.

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Survey Surfaces Increasing Reliance on AI to Develop Software

DevOps.com

AI is already being used in code writing, code review, quality assurance/testing, debugging and design and architecture, according to a recent survey.

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4 Reasons to Outsource Large IT Projects During Economic Headwinds

CIO

Selected properly, your outsourced provider will have a group of tried and tested experts with deep knowledge of the chosen tech stack and therefore can iterate and compose much faster. Inspect project plans to ensure it includes full and rigorous testing, especially around security, full quality assurance, and performance optimization.

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The early returns on gen AI for software development

CIO

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. The key to success in the software development lifecycle is the quality assurance (QA) and verification process, Ramakrishnan says.