Updated
over 5 years
ago.
3 hacker ♥️.
Collecting and presenting statistics on the various aspects of the openSUSE:Factory/openSUSE:Leap:* staging process would be useful for determining if changes in tooling and automation have an impact on the workflow. Some examples or information of interest are as follows.
request
- time to first staging
- number of times moved
- total time until accepted
- time less review waits (ie staging work)
- count of superseded requests before accept
staging
- time from first request to accept (length open)
- time from acceptable to accepted (idle time)
- spacing between requests being added (ignoring superseded requests)
- manual rebuilds triggered that ended in success (flaky packages)
- manual retests triggered that ended in success (flaky tests)
overall
- backlog size
- empty staging count
- ready stagings pending review
- ignored requests
- total open requests
drawing some conclusions where possible
- the quality of initial staging decisions based on number of times requests are moved
- troublesome packages that general cause issues and may be candidates for isolating
- dead time where requests are in backlog and empty stagings
- would adjusting the number of stagings be useful
If possible back-filling this data would be helpful for getting a feel for averages.
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This project is part of:
Hack Week 15
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