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 Cyflwyniad i Ran 2: Metrigau Llif
- 2.1 Y Flow Framework
- 2.2 Elfennau llif: nodweddion, diffygion, risgiau, a dyled
- 2.3 Cyflymder llif a dosraniad llif
- 2.4 Amser llif a llwyth llif
- 2.5 Effeithlonrwydd llif a gwaith ar y gweill
- 2.6 Amser cylch a'i gydrannau
- 2.7 Theori ciwio
- 2.8 Metrigau ffrwd werth Lean
- 2.9 Metrigau pull request ac adolygu cod
- 2.10 Fframwaith metrigau DORA
- 3 Developer Experience and the SPACE Framework
- 3.0 Cyflwyniad i Ran 3: Profiad Datblygwyr a'r Fframwaith SPACE
- 3.1 Y fframwaith SPACE
- 3.2 Metrigau boddhad a llesiant
- 3.3 Metrigau perfformiad a dirprwyon canlyniad
- 3.4 Metrigau gweithgarwch a'u cyfyngiadau
- 3.5 Metrigau cyfathrebu a chydweithio
- 3.6 Effeithlonrwydd a llif: gwaith dwfn ac ymyriadau
- 3.7 Arolygon profiad datblygwyr a metrigau 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.