Source Code Analysis Scope
Files includes and excluded from analyses
gs
ino

scoping details...
  • 12 extensions are included in analyses: ipynb, py, md, yml, js, txt, json, yaml, gitignore, gs, sh, ino
  • 6 criteria are used to exclude files from analysis:
    • exclude files with path like ".*/git[-]commit[-]trailers[.]txt" (Git history trailers) (1 file).
    • exclude files with path like ".*/git[-]history[.]txt" (Git history) (1 file).
    • exclude files with path like ".*/git[-][a-zA-Z0-9_]+[.]txt" (Git data exports for sokrates analyses) (1 file).
    • exclude files with path like ".*/_sokrates/.*" (Sokrates files) (0 files).
    • exclude files with path like ".*/_sokrates_landscape/.*" (Sokrates landscape files) (0 files).
    • exclude files with path like ".*/sokrates_.*?[.]json" (Sokrates conventions and configurations) (0 files).
Overview of Analyzed Files
Basic stats on analyzed files
Intro
For analysis purposes we separate files in scope into several categories: main, test, generated, deployment and build, and other.
main35452 LOC (52%) 85 files
test0 LOC (0%) 0 files
generated636 LOC (<1%) 1 file
build and deployment273 LOC (<1%) 9 files
other31187 LOC (46%) 93 files
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
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ipynb29729 LOC (83%) 41 files
py4463 LOC (12%) 34 files
js1107 LOC (3%) 6 files
yaml153 LOC (<1%) 4 files

scope details...
  • The following criteria are used to filter files:
    • files with paths like ".*".
  • 85 files match defined criteria (35,452 LOC, 100.0% vs. main code):
    • 41 ipynb files (29,729 LOC)
    • 34 py files (4,463 LOC)
    • 6 js files (1,107 LOC)
    • 4 yaml files (153 LOC)
Generated Code
Automatically generated files, not manually changed after generation.
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json636 LOC (100%) 1 file

scope details...
  • The following criteria are used to filter files:
    • files with paths like ".*/package[-]lock[.]json".
  • 1 file matches defined criteria (636 LOC, 1.8% vs. main code). All matches are in json files.
Build and Deployment Code
Source code used to configure or support build and deployment process.
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yaml182 LOC (66%) 5 files
sh71 LOC (26%) 2 files
gitignore20 LOC (7%) 2 files

scope details...
  • The following criteria are used to filter files:
    • files with paths like ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*/docker[-]compose[.]yml".
    • files with paths like ".*/[.]github/workflows/.*[.]ya?ml".
    • files with paths like ".*[.]sh".
    • files with paths like ".*/requirements[a-zA-Z0-9._-]*[.]txt".
    • files with paths like ".*/package[-]lock[.]json".
    • files with paths like ".*/package[.]json".
  • 9 files match defined criteria (273 LOC, 0.8% vs. main code):
    • 5 yaml files (182 LOC)
    • 2 sh files (71 LOC)
    • 2 gitignore files (20 LOC)
Other Code
ino
gs
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ipynb28041 LOC (89%) 51 files
md1245 LOC (3%) 27 files
json909 LOC (2%) 6 files
ino340 LOC (1%) 1 file
py290 LOC (<1%) 2 files
gs265 LOC (<1%) 2 files
txt72 LOC (<1%) 3 files
yaml25 LOC (<1%) 1 file

scope details...
  • The following criteria are used to filter files:
    • files with paths like ".*[.]md".
    • files with paths like ".*/README[.][a-z0-9]+".
    • files with paths like ".*[.]txt".
    • files with paths like ".*[.]json".
    • files with paths like ".*/[Ee]xamples/.*".
  • 93 files match defined criteria (31,187 LOC, 88.0% vs. main code):
    • 51 ipynb files (28,041 LOC)
    • 27 md files (1,245 LOC)
    • 6 json files (909 LOC)
    • 1 ino files (340 LOC)
    • 2 py files (290 LOC)
    • 2 gs files (265 LOC)
    • 3 txt files (72 LOC)
    • 1 yaml files (25 LOC)
About This Analysis
learn more about scopes (main, test, generated, build, other)...

  • The main category contains all manually created source code files that are being used in the production.
  • Files in the main category are used as input for other analyses: logical decomposition, concerns, duplication, file size, unit size, and conditional complexity.
  • Test source code files are used only for testing of the product. These files are normally not deployed to production.
  • Build and deployment source code files are used to configure or support build and deployment process.
  • Generated source code files are automatically generated files that have not been manually changed after generation.
  • While a source code folder may contain a number of files, we are primarily interested in the source code files that are being written and maintained by developers.
  • Files containing binaries, documentation, or third-party libraries, for instance, are excluded from analysis. The exception are third-party libraries that have been changed by developers.

learn more about used code analyzers...
  • *.ipynb files are analyzed with DefaultLanguageAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Basic code cleaning (empty lines removed for LOC calculations and duplication calculations)
    • No unit size analysis
    • No conditional complexity analysis
    • No dependency analysis
  • *.py files are analyzed with PythonAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Advanced code cleaning (empty lines and comments removed for LOC calculations, additional cleaning for duplication calculations)
    • Unit size analysis
    • Conditional complexity analysis
    • Basic heuristic dependency analysis
  • *.js files are analyzed with JavaScriptAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Advanced code cleaning (empty lines and comments removed for LOC calculations, additional cleaning for duplication calculations)
    • Unit size analysis
    • Conditional complexity analysis
    • No dependency analysis
  • *.yaml files are analyzed with YamlAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Advanced code cleaning (empty lines and comments removed for LOC calculations, additional cleaning for duplication calculations)
    • No unit size analysis
    • No conditional complexity analysis
    • No dependency analysis