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Calculating The Cost of Software Quality in Your Organization

OverOps

The following is a guest post from Herb Krasner, an Advisory Board Member for the Consortium for IT Software Quality (CISQ) and industry consultant for 5 decades. Demands of the competitive global economy have placed a strong emphasis on quality across the IT industry, and it shows no signs of going away.

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

TechCrunch

QA Wolf , a cloud-based platform designed to detect bugs in software, today exited stealth and announced a $20 million funding round led by Inspired Capital with participation from Notation Capital, Operator Partners and Thiel Capital and several angel investors (among them Peter Thiel). Neither, obviously, are very desirable scenarios.

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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. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Quality Management is Risk Management

Xebia

In software development this can be translated into ‘prevent bugs from ending up in the codebase’. An example of the second category would be test – driven development where a test case is created before any code is developed and the tests need to pass before code can be submitted. Designing your quality strategy .

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How to calculate TCO for enterprise software

CIO

When organizations buy a shiny new piece of software, attention is typically focused on the benefits: streamlined business processes, improved productivity, automation, better security, faster time-to-market, digital transformation. A full-blown TCO analysis can be complicated and time consuming.

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Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO

By Milan Shetti, CEO Rocket Software In today’s volatile markets, agile and adaptable business operations have become a necessity to keep up with constantly evolving customer and industry demands.

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5 dead-end IT skills — and how to avoid becoming obsolete

CIO

CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. And while AI is already developing code, it serves mostly as a productivity enhancer today, Hafez says. But that will change. “As