(SinCaire is a software development company that develops web applications for various clients. To measure the successful implementation of…

"Change lead time" (or Lead Time for Changes) is a key DevOps metric that measures the time from a code commit to that code successfully running in production. This metric, popularized by the DevOps Research and Assessment (DORA) team and adopted by agencies like the GSA, directly assesses the efficiency of the entire delivery pipeline. It encompasses the time spent in development, automated testing, security checks, and deployment. A short change lead time indicates a highly efficient and automated pipeline, enabling rapid delivery of both new features and bug fixes.

A: Mean time to recovery (MTTR) measures how quickly service can be restored after a production failure, not development speed.

B: Change volume measures the number of deployments or changes, not the time it takes to deliver a single change.

C: Time to value is a broader business metric measuring the time from idea conception to customer realization of value.

U.S. General Services Administration (GSA). (n.d.). "DevOps Metrics." Tech at GSA. Retrieved from https://tech.gsa.gov/guides/devopsmetrics/. (This official GSA guide lists "Lead time for changes" as a key metric, defining it as the time from commit to production).

Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: The Science of Lean Software and DevOps. IT Revolution Press. Chapter 2, "Measuring Performance". (This foundational book defines Lead Time for Changes as a core metric of software delivery performance).