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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? Organizations often seek to hasten their long release cycle while maintaining product quality. Most of the time, organizations cannot cover the entire scope of their testing needs, and this is where they decide to invest in Quality Assurance outsourcing.

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Quality Assurance Approach towards Virtual Reality (VR)

Perficient

It is highly recommended for testers to be aware of the safety standards to be followed on testing an application with a virtual reality equipment. With countless types of VR devices available in the market, the application can exhibit different behaviors in different types of devices.

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The early returns on gen AI for software development

CIO

But early returns indicate the technology can provide benefits for the process of creating and enhancing applications, with caveats. The key to success in the software development lifecycle is the quality assurance (QA) and verification process, Ramakrishnan says.

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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. Example 1: major outage after a core system update A large broker-dealer updated its core system and immediately ran into a catastrophic failure.

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Quality Management is Risk Management

Xebia

This is basically assuming the system is correct until proven otherwise. From a quality perspective this is mostly about making sure deviations can be mitigated as soon as possible. . Designing your quality strategy . To lower risks, we introduce quality assurance. Risk is not static, Quality is granular .

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QA Wolf exits stealth with an end-to-end service for software testing

TechCrunch

“Our vision is to become the ‘operating system for quality’ that companies use to improve the holistic quality of their applications, beginning with automated end-to-end testing.” But Perl makes the case that QA Wolf removes the complexity of quality assurance testing like few others do.

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AI for Decision-Makers: How to Win Trust from the Outset

CIO

“Users must be able to deeply trust the applications. In order to overcome this issue, the applications running AI algorithms must be designed to build confidence in the outcomes. Think of a decision support system as being like an assisted driving car. They have to find them indispensable when making major choices.