Software factory change size

Size affects the feedback path

Large changes can be difficult to understand, review, test, and recover. They may contain several concerns that obscure the cause of a failure. Small changes can shorten feedback and make rollback or diagnosis easier, but splitting a change can also create coordination overhead or hide a dependency.

Choose a size unit that matches the decision. Lines changed, files changed, logical work items, and deployment batch size describe different properties. Generated files and formatting-only changes can distort code-based measures, so keep them identifiable.

Compare like with like

Inspect the distribution of change sizes by service and work type. Pair size with time to first review, time to merge, review rounds, test results, change failure, rework, and outcome. A team doing a difficult migration should not be judged against routine documentation changes.

Small batches are most useful when the factory can provide fast feedback. Reducing a change's size does not fix a slow deployment path or an unavailable reviewer by itself.

How Weave can help

Weave can make change size visible alongside the workflow and quality evidence needed to interpret it. Teams can examine concrete examples and test whether smaller changes reduce waiting or rework while preserving useful outcomes.