Free · open · specification-driven
Measure software engineering well.
A working book on choosing metrics that reflect real outcomes rather than activity: the Flow Framework, the SPACE framework, queueing theory, and DORA metrics, code and quality metrics, product and business outcomes, reliability and security, and how generative AI is reshaping what these numbers mean.
Contents
- 1 Foundations of Measurement
- 2 Flow Metrics
- 2.0 Pengantar Bagian 2: Metrik Aliran
- 2.1 Flow Framework
- 2.2 Item aliran: fitur, cacat, risiko, dan utang
- 2.3 Velocity aliran dan distribusi aliran
- 2.4 Waktu alir dan beban aliran
- 2.5 Efisiensi aliran dan pekerjaan yang sedang berjalan
- 2.6 Waktu siklus dan komponennya
- 2.7 Teori antrean
- 2.8 Metrik aliran nilai Lean
- 2.9 Metrik pull request dan tinjauan kode
- 2.10 Kerangka metrik DORA
- 3 Developer Experience and the SPACE Framework
- 3.0 Pengantar Bagian 3: Pengalaman Pengembang dan Kerangka Kerja SPACE
- 3.1 Kerangka kerja SPACE
- 3.2 Metrik kepuasan dan kesejahteraan
- 3.3 Metrik kinerja dan proksi hasil
- 3.4 Metrik aktivitas dan batasannya
- 3.5 Metrik komunikasi dan kolaborasi
- 3.6 Efisiensi dan aliran: kerja mendalam dan interupsi
- 3.7 Survei pengalaman pengembang dan metrik DevEx
- 4 Code and Quality Metrics
- 5 Product and Business Metrics
- 6 Reliability, Operations, and Security Metrics
- 7 Metrics in the Age of AI
- 8 Building a Metrics Program
- 9 Appendices
This site is built with SvelteKit and the Lily Design System. The book's content lives in the software-engineering-metrics content repository; see the project page for how the two fit together, and contributing for how to help.