facebookresearch / MTRF
Source Code Overview

Analysis scope, overview of main, test, generated, deployment, build, and other code.

Source Code Analysis Scope
Files includes and excluded from analyses
txt
gitmodules
dockerignore
  • 12 extensions are included in analyses: py, xml, json, txt, md, yml, sh, yaml, gitignore, gitmodules, dockerignore, ipynb
  • 4 criteria are used to exclude files from analysis:
    • exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (5 files).
    • 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) (0 files).
    • exclude files with path like ".*[.]txt" (Text files) (7 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.

  • 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.

main15669 LOC (69%) 160 files
test1415 LOC (6%) 23 files
generated0 LOC (0%) 0 files
build and deployment58 LOC (<1%) 3 files
other5479 LOC (24%) 58 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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  • The following criteria are used to filter files:
    • files with paths like ".*".
  • 160 files match defined criteria (15,669 lines of code, 100.0% vs. main code):
    • 152 *.py files (15,211 lines of code)
    • 5 *.yml files (270 lines of code)
    • 3 *.yaml files (188 lines of code)
  • " *.py" is biggest, containing 97.08% of code.
  • " *.yaml" is smallest, containing 1.2% of code.


*.py15211 LOC (97%) 152 files
*.yml270 LOC (1%) 5 files
*.yaml188 LOC (1%) 3 files
Test Code
Used only for testing of the product. Normally not deployed in a production environment.
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  • The following criteria are used to filter files:
    • files with paths like ".*/[Tt]ests/.*".
    • files with paths like ".*_test[.].*".
  • 23 files match defined criteria (1,415 lines of code, 9.0% vs. main code). All matches are in *.py files.


*.py1415 LOC (100%) 23 files
Build and Deployment Code
Source code used to configure or support build and deployment process.
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  • The following criteria are used to filter files:
    • files with paths like ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitmodules".
    • files with paths like ".*[.]sh".
    • files with paths like ".*/[.]gitignore".
  • 3 files match defined criteria (58 lines of code, 0.4% vs. main code). All matches are in *.sh files.


*.sh58 LOC (100%) 3 files
Other Code
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  • The following criteria are used to filter files:
    • files with paths like ".*[.]md".
    • files with paths like ".*[.]txt".
    • files with paths like ".*/README[.][a-z0-9]+".
    • files with paths like ".*/[Ee]xamples/.*".
    • files with paths like ".*/[.]dockerignore".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*[.]json".
    • files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
  • 58 files match defined criteria (5,479 lines of code, 35.0% vs. main code):
    • 10 *.py files (2,160 lines of code)
    • 33 *.xml files (1,553 lines of code)
    • 8 *.json files (1,407 lines of code)
    • 6 *.md files (243 lines of code)
    • 1 *.ipynb files (116 lines of code)
  • " *.py" is biggest, containing 39.42% of code.
  • " *.ipynb" is smallest, containing 2.12% of code.


*.py2160 LOC (39%) 10 files
*.xml1553 LOC (28%) 33 files
*.json1407 LOC (25%) 8 files
*.md243 LOC (4%) 6 files
*.ipynb116 LOC (2%) 1 files
Analyzers
Info about analyzers used for source code examinations.
  • *.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
  • *.yml 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
  • *.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


2022-01-25 20:21