The-Strategy-Unit / The-Strategy-Unit/data_science
Quality assurance
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- Dominant language
- Jupyter Notebook
- Stars
- 11
- Forks
- 5
- Avg merge
- 5h 34m
- Merged PRs (30d)
- 1
Description
What is quality assurance?
Why is it important?
What sort of approaches can we do to think about QA throughout the development process?
Contributor guide
No contributing guide indexed for this repository
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.
Research direction
The issue names no files, tests, or entry points. Start by locating existing project documentation and QA guidance, then define the scope and intended audience before drafting an explanation of QA, its importance, and development-process approaches.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, testing-qa
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100