DaalaReview

This is a proposal for a more flexible review process. It is a set of guidelines for the most appropriate approach for different types of changes. Above all, use your judgement.

Definitions

• A) Full review: Same as current process. Can be based on Rietveld, "git format-patch", or a pull request
• B) Post-review: Code gets committed to repo first, committer nags reviewer weekly if necessary
• C) Design review: Discuss with original author (and possibly others) for the principle of a change, can (and probably should) be done even before doing the work
• D) No review: self-explanatory

Guidelines

• 0) Full-review on anything the committer has reasons to believe would be controversial, buggy, ...
• 1) Generally no review on comments/whitespace/style/documentation
  • Except potentially when changing Doxygen API comments
• 2)Post-review on code that is already badly broken, or on simple bug fixes
• 3) No review on initial commit of new stuff that isn't being called
  • Full-review required to hook any code not reviewed because of point 3
  • If code in point 3 breaks the build, it gets fixed immediately or removed
  • No review on new tools until they get used by other people
• 4) Code that is (according to the committer) highly unlikely to break things or that is trivially testable gets post-review
• 5) Code that may have subtle implications gets full review
• 6) Refactoring of someone else's code gets design review, followed by either post-review (or full review if requested during design review)
• 7) Disruptive work (e.g. block switching) gets both design review and full review.
• 8) Most build system changes get no review (unless point 0 applies)
• 9) Post-review on test code

Examples

1) da726b32, 53362b77 2) 212d13b3, 3) 76ee32c8, 75b62b23 4) 7c102188, 50732d66 5) 8cd46564, 74dc3616 6) 208ea300 7) b4bfee65 8) 7cc3cc5f, 487fe063

Team reviews

• 1) Once in a while, we should pick a piece of code
• 2) Original author cleans up code, adds comments
• 3) Code discussed with entire team
• 4) Suggestions for improvement (with emphasis on algo)