SESSION

Stanford Research: Measuring Software Engineering Productivity

Effective decision-making in software organizations relies on good data: you can’t improve what you don’t measure. Current ways of measuring software org productivity are flawed and may encourage counterproductive behavior. We propose a new approach to measuring productivity, developed through years of Stanford research.

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PRESENTED BY
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    Simon Obstbaum

    Software Engineering Researcher @ Stanford

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    Yegor Denisov-Blanch

    Researcher @ Stanford

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Develocity Highlights

Take it further with Develocity

You may be feeling inspired to start improving some of the metrics Simon and Yegor mentioned in their talk. But whatever framework you use to measure developer productivity, you have to be able to actually obtain the data to develop the metrics. Develocity Reporting & Visualization provides the most comprehensive and actionable data reporting yet, so you can see how your toolchain is performing on every level and across every project. The “reporting kit” can be used with any cloud provider or on-premise solution and comes with preconfigured Grafana dashboards and queries, so you can dive into your data immediately.

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