Machine learningDevOps Metrics

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.

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Sources

  1. Humble, J., & Farley, D. (2010). Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley. ISBN: 0321601912
  2. Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: The Science of Lean Software and DevOps. IT Revolution Press. ISBN: 1942788339
  3. Duvall, P. M., Matyas, S. M., & Glover, A. (2007). Continuous Integration: Improving Software Quality and Reducing Risk. Addison-Wesley. ISBN: 0321336380
ScholarGateCI/CD Analytics (CI/CD Analytics for Development Metrics). Retrieved 2026-06-04 from https://scholargate.app/en/numerical-methods/ci-cd-analytics