Einar & Partners | IT Benchmarks

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Change Failure Rate – Impact of Code Changes

What is the rate of failures after changing code before and after having a CMDB?

Before CMDB implementation distribution across all confidence levels.

After CMDB implementation distribution across all confidence levels.

To benchmark the Change Failure Rate due to Impact of Code Changes, we analyzed failure rates before and after implementing the CMDB. Data derived from confidence in assessing the impact of code changes.

Key Takeaways

Before CMDB implementation, a large portion of organizations estimated change failure rates between 40–100%, indicating limited visibility into code impact and dependencies.
After CMDB implementation, the majority report failure rates below 40%, demonstrating significantly improved impact analysis and risk control.
Overall, CMDB adoption is strongly associated with reduced code-related change failures and improved confidence in release management.

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