Outline end-to-end test methodology, including hardware specs
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 55/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Quiet
- Tech stack
- typescript
- Domain
- documentation
Research direction
Start by reviewing the methodology sections on the staged site, including the runtime page, and the existing Lighthouse tests via Puppeteer. Document the device, OS, display, CPU tuning, browser and server versions, isolation procedures, and relevant network and CPU-throttling caveats for each test run.
Written by the indexing model from the issue text.
Description
Hey folks,
I'm a huge fan of this effort, so thank you first and foremost for making this data legible.
Over on the staged site (https://framework-tracker.pages.dev/), the methodology sections (e.g.: https://framework-tracker.pages.dev/run-time/#:~:text=39.21ms-,Methodology,-Each%20framework%20renders) do not yet include enough information. For each test run, I would expect to see:
- Device brand and specs (CPU, memory, disk, GPU (if discrete) and GPU rendering status)
- OS version
- Screen resolution(s)
- A note about CPU core tuning (has anything been done to change default frequency scaling? If not, a line saying that)
- Browser and server software versions
- Other isolation procedures used to ensure that the workload is uninterrupted (e.g., via a link to a larger methodology document).
Given that we're also using Lighthouse tests via Puppeteer, it would also be helpful to make some of the caveats about the network and CPU throttling it can apply somewhat plain.
- Dominant language
- TypeScript
- Stars
- 42
- Forks
- 16
- Avg merge
- 13h 28m
- Merged PRs (30d)
- 149
Getting set up
- Ships a Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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