code-maat
temporal-coupling
| code-maat | temporal-coupling | |
|---|---|---|
| 7 | 1 | |
| 2,325 | 12 | |
| - | - | |
| 3.1 | 10.0 | |
| 11 months ago | over 11 years ago | |
| Clojure | Ruby | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
code-maat
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Ask HN: Measurements of Code Quality?
Get a copy of "Your code as a crime scene", then check out two GitHub repos
https://github.com/adamtornhill/code-maat
https://github.com/smontanari/code-forensics
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Code Red: The Business Impact of Code Quality
He also wrote Your Code as a Crime Scene and authored the open source tool, Code Maat. I've found both extremely useful in my current job where I took over a code base with immense technical debt.
https://github.com/adamtornhill/code-maat
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Why I Write Dirty Code: Code Quality in Context
It's not as neat as that unfortunately. You use this to extract different data from the version control history: https://github.com/adamtornhill/code-maat
Then visualize it however. I have some d3 scripts that came with the book that I've modified and you can track down somewhere on github I'm pretty sure. I mostly use those for demoing it to devs unfamiliar with the techniques though, since it looks cool and is immediately obvious what it's for.
For serious use I dump it into sqlite and use a mix of different scripts and techniques to figure it out. It's been kind of a language playground for me over the years so is in a lot of different languages and is "learning code" in most of them. Cleaning them up and sharing is one of those "maybe some day" things though.
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Find files which change together frequently
After searching a bit more, it seems like https://github.com/adamtornhill/code-maat is a great tool
- adamtornhill/code-maat: A command line tool to mine and analyze data from version-control systems
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The #1 tip to familiarize with new JavaScript codebases
The tool code-complexity is closely coupled to JavaScript and TypeScript-based codebases. For other languages like Java, C#, Python, or PHP there are other tools, but one tool that is generic and works for most of the codebases is code-maat. It is a tool created by the author of the book mentioned in the chapter before.
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Emacs as your code-compass: how stable is my code?
https://github.com/adamtornhill/code-maat#Usage
temporal-coupling
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Find files which change together frequently
It's called "temporal coupling". I have not tried anything personally, so my telling you to google it is not a remark to take a hike, just have no experience in it. But there seems to be some community created tools like https://github.com/shepmaster/temporal-coupling
What are some alternatives?
code-complexity - Measure the churn/complexity ratio. Higher values mean hotspots where refactorings should happen.
sloc - simple tool to count SLOC (source lines of code)
code-compass - A set of code analyses that assist you in tackling software complexity
Compiler
code-forensics - A toolset for code analysis and report visualisation
LGV_MeetingSDK - A Connector for Various Regular Recovery Meetings
dmd - dmd D Programming Language compiler