Count metrics for Kotlin, to set the start for our sonarless parser #3796
Labels
difficulty:hard
It is quite difficult to get a working solution
feature
Feature requests
pr-analysis
Issues that touch the analysis pr(oject).
priority:high
Set by PO
research
Task that requires significant research into what other people do
tech
For technical stories without user impact (=refactoring stories).
Feature request
Description
As a user I want to have a parser that has basic metrics like LOC/RLOC/COMPLEXITY/COMMENT_LINES/IMPORTED_FILES (for edge metrics) without using sonar, so that I can use this in any environment.
Therefor we want to evaluate, how much time we will need to implement this for Kotlin & TS as it is used by CodeCharta. From there we will branch of to: C# / C / C++ / JS / PHP / Java
We do this in multiple steps, the first will be to evaluate Kotlin and run some tests against our code map that already exists.
Next would be to integrate this into either a new parser or into an existing one.
Acceptance criteria
Assumptions & Exclusions
Complexity will probably be the hardest part to get right. Therefor we can use 2 things:
In general we can and will always check against the CodeCharta map that we currently have in our Web Demo.
https://docs.sonarsource.com/sonarqube/latest/user-guide/code-metrics/metrics-definition/ can also help to find some of the metrics and how they are calculated.
This task will contain probably some kind of research that has to go into it. Which is expected and needed.
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