mgreene

For the lowest risk changes in terms of review comment activity, that appears to almost already be happening.

Not an unreasonable thing to say. I did provide data to back up my point of view so folks are at least free to disagree on the details rather than just the high-level take.

Building upon Microsoft's earlier analysis (https://pdfs.semanticscholar.org/c079/0dc547c56ca48b78bc418b...), our data, which is composed through an objective risk measure, confirms similar findings about code review efficacy w/r/t finding bugs.

The paper's title is a bit provocative but I think the findings are interesting. Mainly around long-held beliefs about what developers perceive as the value vs what is actually happening.

You do bring up a good point about using change defect rate though. I wish the researchers had cited that as the preferred unit of measurement. I did some research on change defect rates on popular open source projects and it's all over the map. Ranging from ~12 - ~40% [1].

The future I'd like to see is as developers we use objective measures to justify time investment for review. This is going to be increasingly important as agents start banging out small bug-fix tickets.

[1] https://www.shepherdly.io/post/benchmarking-risk-quality-kpi...

Shepherdly is a bug prediction platform for pull requests. We wanted to see how risky PRs were managed in open source repositories. How do you think it compares to yours?

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How much of the c3.xlarge memory should be reserved for file system caching?