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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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Can developer productivity be measured? Better than you think

CIO Business Intelligence

Measuring developer productivity has long been a Holy Grail of business. In retail, for example, software has been the fastest-growing job category ; about half of the world’s software engineers work outside the tech industry. In addition, system, team, and individual productivity all need to be measured.

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Top Productivity Metrics Examples & KPIs To Measure Performance And Outcomes

datapine

2) How To Measure Productivity? For years, businesses have experimented and narrowed down the most effective measurements for productivity. Your Chance: Want to test a professional KPI tracking software? Use our 14-day free trial and start measuring your productivity today! How To Measure Productivity?

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The early returns on gen AI for software development

CIO Business Intelligence

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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Deep Pool boosts software quality control using Amazon QuickSight

AWS Big Data

Deep Pool Financial Solutions , an investor servicing and compliance solutions supplier, was looking to build key performance indicators to track its software tests, failures, and successful fixes to pinpoint the specific areas for improvement in its client software. Typical development processes involve extensive testing.

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Optimizing Cost with DevOps on the Cloud

Smart Data Collective

DevOps is an increasingly popular approach that combines software development and operations, allowing developers and IT professionals to work together more efficiently. With DevOps on the cloud, businesses can take advantage of faster, more flexible computing environments without having to invest in expensive hardware and software.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.