kernelci / kernelci/dashboard

Metrics

Open
#1,622 1 comment 0 reactions 0 assignees View on GitHub
enhancement feedback
Dominant language
Python
Stars
9
Forks
31
Avg merge
3d 19h
Merged PRs (30d)
16

Description

In the interest of measuring success of KernelCI, other than tracking how often people refer to it with "Reported by" trailers in their patches, we could establish a framework for some based on KCIDB data, which would eventually lead to some insights about the potential of KernelCI tests and reports.

Perhaps we can get some inspiration from:
- https://gitlab.com/Linaro/lkft/triggers/lkft-stats
- https://stats.lkft.linaro.org/

Contributor guide

Open the contributing guide

Research direction

No file, test, or entry point is named. Start by reviewing how the dashboard accesses KCIDB data and the linked LKFT stats examples; done would require an agreed metrics framework and a defined way to expose the resulting KernelCI insights.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
analytics, data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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