Document "effective K"
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- documentation
Research direction
Start by reviewing the linked compilation-time issue and performance pull request, then gather the existing institutional knowledge about writing K code, including deprecated features and the Kasmer decision tree work. Done means this guidance is consolidated into documentation covering the identified topics.
Written by the indexing model from the issue text.
Description
We currently have a lot of institutional knowledge around the best way to write K code in practice. This covers a lot of different topics:
- Compilation times (https://github.com/runtimeverification/mx-semantics/issues/259)
- Performance (symbolic and concrete: https://github.com/runtimeverification/mx-semantics/pull/263)
- Usage of old / to be deprecated features
- etc.
These should be written up into some kind of documentation so that we don't forget; I spent a bunch of time on the Kasmer decision tree issue that we had actually diagnosed last year.
- Dominant language
- Python
- Stars
- 591
- Forks
- 163
- PR merge metrics
- No merged PRs in 30d
Contributor 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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runtimeverification/k#4939 · 1 assignee ·
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type:epic
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