Lead Time for Changes Measure

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A Lead Time for Changes Measure is a software product operations measure based on how long it takes a code commit to result in releasable code (or deployed code).



References

2023

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    • Q: What is a Lead Time for Changes Measure, and give some examples.
    • A: Lead time for changes is a measure of the time it takes for code changes to be implemented and deployed in a software system, starting from the moment the change is requested or initiated, until the moment the change is live and in production. This measure can provide insight into how quickly changes are being delivered and can be used to identify bottlenecks in the development process and to track improvements over time.

      Examples of lead time for changes measures:

      • Mean lead time: The average time it takes for code changes to be implemented and deployed.
      • Median lead time: The middle value when all lead times are arranged in order of size.
      • Percentile lead time: the time it takes for a certain percentage of changes to be deployed. For example, the 95th percentile lead time would be the lead time that is exceeded by only 5% of changes.
      • Worst lead time: The longest time it takes for code changes to be implemented and deployed.
      • Best lead time: The shortest time it takes for code changes to be implemented and deployed.
    • These measures can be used to identify trends and patterns in the lead times of code changes, and can be used to identify areas of the development process that need improvement. They can also be compared with industry standards to see how your process compares with others.

      It's important to notice that lead time can be affected by many factors, not only within development, like testing, infrastructure availability, approvals and regulatory compliance but also external factors.

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