facebook / netconsd
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
  • 10 extensions are included in analyses: c, h, md, cc, txt, gitignore, py, json, yml, yaml
  • 3 criteria are used to exclude files from analysis:
    • exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (3 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).
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.

main2810 LOC (90%) 22 files
test0 LOC (0%) 0 files
generated0 LOC (0%) 0 files
build and deployment0 LOC (0%) 0 files
other278 LOC (9%) 4 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 ".*".
  • 22 files match defined criteria (2,810 lines of code, 100.0% vs. main code):
    • 10 *.c files (2,273 lines of code)
    • 10 *.h files (329 lines of code)
    • 1 *.py files (105 lines of code)
    • 1 *.cc files (103 lines of code)
  • " *.c" is biggest, containing 80.89% of code.
  • " *.cc" is smallest, containing 3.67% of code.


*.c2273 LOC (80%) 10 files
*.h329 LOC (11%) 10 files
*.py105 LOC (3%) 1 files
*.cc103 LOC (3%) 1 files
Other Code
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]md".
    • files with paths like ".*[.]json".
    • files with paths like ".*/README[.][a-z0-9]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*[.]txt".
  • 4 files match defined criteria (278 lines of code, 9.9% vs. main code):
    • 3 *.md files (206 lines of code)
    • 1 *.json files (72 lines of code)
  • " *.md" is biggest, containing 74.1% of code.
  • " *.json" is smallest, containing 25.9% of code.


*.md206 LOC (74%) 3 files
*.json72 LOC (25%) 1 files
Analyzers
Info about analyzers used for source code examinations.
  • *.c files are analyzed with CStyleAnalyzer:
    • 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
  • *.h files are analyzed with CppAnalyzer:
    • 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
    • Advanced heuristic 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
  • *.cc files are analyzed with CppAnalyzer:
    • 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
    • Advanced heuristic dependency analysis


2022-04-15 00:47