Presented by Simon Obstbaum and Yegor Denisov-Blanch (Stanford University) at DPE Summit 2024, an event developed and hosted by Gradle.
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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00:00:00 Introduction to engineering productivity research
00:02:33 Traditional productivity metrics and their limitations
00:08:18 Defining and measuring engineering output versus business outcomes
00:10:59 The quantitative model for assessing software engineering output
00:13:16 Model accuracy, validation, and expert review process
00:16:42 Case studies on team efficiency and organizational growth
00:19:23 Future research directions and how to get involved
