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What is Engineering Productivity? We are a data-driven engineering discipline focused on optimizing the engineering process so that Google can deliver amazing experiences to our users, faster. Core Principles. Our approach to building at scale.
SPACE framework suggests the best way to track performance is by measuring outcomes rather than output. Often the outcome of individual contribution is dependent on the type of work that is assigned to the individual.
Whether measuring a tool, process, or team, Googles Developer Intelligence team subscribes to the belief that no single metric captures productivity. Instead, they look at productivity through the three dimensions of speed, ease, and quality.
DPE aims to maintain high code quality through systemized processes. Practices like code reviews, static code analysis and automated testing minimize software bugs and technical debt, improving developer productivity.
To measure developer productivity accurately, it is important to establish relevant software developer productivity metrics. Some common metrics include time spent on tasks, number of bugs fixed, and feature implementation speed.
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In summary, the analysis suggests that code quality, technical debt, infrastructure tools and support, team communication, goals and priorities, and organizational change and process are causally linked to developer productivity at Google.
Measuring developer experience, SPACE metrics, DORA metrics, and GSM (Goals/Signals/Metrics) are a couple of accepted frameworks for measuring developer productivity.

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