facebookresearch / DVDialogues
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
  • 6 extensions are included in analyses: json, py, sh, md, ipynb, txt
  • 3 criteria are used to exclude files from analysis:
    • 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) (1 file).
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.

main6305 LOC (5%) 35 files
test0 LOC (0%) 0 files
generated0 LOC (0%) 0 files
build and deployment92 LOC (<1%) 4 files
other114274 LOC (94%) 62 files
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*".
  • 35 files match defined criteria (6,305 lines of code, 100.0% vs. main code). All matches are in *.py files.


*.py6305 LOC (100%) 35 files
Build and Deployment Code
Source code used to configure or support build and deployment process.
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]sh".
  • 4 files match defined criteria (92 lines of code, 1.5% vs. main code). All matches are in *.sh files.


*.sh92 LOC (100%) 4 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 ".*[.]txt".
    • files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
  • 62 files match defined criteria (114,274 lines of code, 1812.4% vs. main code):
    • 57 *.json files (112,155 lines of code)
    • 3 *.ipynb files (2,061 lines of code)
    • 2 *.md files (58 lines of code)
  • " *.json" is biggest, containing 98.15% of code.
  • " *.md" is smallest, containing 0.05% of code.


*.json112155 LOC (98%) 57 files
*.ipynb2061 LOC (1%) 3 files
*.md58 LOC (<1%) 2 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


2022-01-25 20:14