CI/CD Analytics
CI/CD Analytics is the measurement and analysis of Continuous Integration and Continuous Deployment pipelines to improve development velocity, quality, and reliability. Popularized by Humble and Farley's 'Continuous Delivery' (2010) and formalized by Forsgren et al.'s 'Accelerate' (2018), key metrics include deployment frequency, lead time, mean time to recovery, and change failure rate.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Humble, J., & Farley, D. (2010). Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley. · ISBN 0321601912
- Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: The Science of Lean Software and DevOps. IT Revolution Press. · ISBN 1942788339
- Duvall, P. M., Matyas, S. M., & Glover, A. (2007). Continuous Integration: Improving Software Quality and Reducing Risk. Addison-Wesley. · ISBN 0321336380
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.
The generated relation graph has no outgoing relation for this method.