awslabs / amazon-neptune-tools
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
  • 9 extensions are included in analyses: java, json, md, py, sh, xml, txt, gitignore, ipynb
  • 7 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 ".*/docs/.*" (Documentation) (7 files).
    • exclude files with path like ".*/bin/.*" (Binaries for distribution) (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) (0 files).
    • exclude files with path like ".*[.]txt" (Text files) (2 files).
    • exclude files with path like ".*/sokrates_conventions[.]json" (Sokrates scoping conventions) (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.

main21900 LOC (62%) 323 files
test3879 LOC (11%) 53 files
generated0 LOC (0%) 0 files
build and deployment94 LOC (<1%) 3 files
other9243 LOC (26%) 142 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 ".*".
  • 323 files match defined criteria (21,900 lines of code, 100.0% vs. main code):
    • 301 *.java files (18,993 lines of code)
    • 22 *.py files (2,907 lines of code)
  • " *.java" is biggest, containing 86.73% of code.
  • " *.py" is smallest, containing 13.27% of code.


*.java18993 LOC (86%) 301 files
*.py2907 LOC (13%) 22 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]est/.*".
    • files with any line of content like ".*/simpletest/.*".
  • 53 files match defined criteria (3,879 lines of code, 17.7% vs. main code). All matches are in *.java files.


*.java3879 LOC (100%) 53 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 ".*/pom[.]xml".
    • files with paths like ".*[.]sh".
    • files with paths like ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitignore".
  • 3 files match defined criteria (94 lines of code, 0.4% vs. main code). All matches are in *.sh files.


*.sh94 LOC (100%) 3 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 ".*/README[.][a-z0-9]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*/[Ee]xamples/.*".
    • files with paths like ".*/LICENSE[.][a-z0-9]+".
    • files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
  • 142 files match defined criteria (9,243 lines of code, 42.2% vs. main code):
    • 108 *.json files (6,199 lines of code)
    • 16 *.md files (1,373 lines of code)
    • 7 *.xml files (1,052 lines of code)
    • 2 *.ipynb files (350 lines of code)
    • 2 *.py files (107 lines of code)
    • 3 *.java files (102 lines of code)
    • 4 *.sh files (60 lines of code)
  • " *.json" is biggest, containing 67.07% of code.
  • " *.sh" is smallest, containing 0.65% of code.


*.json6199 LOC (67%) 108 files
*.md1373 LOC (14%) 16 files
*.xml1052 LOC (11%) 7 files
*.ipynb350 LOC (3%) 2 files
*.py107 LOC (1%) 2 files
*.java102 LOC (1%) 3 files
*.sh60 LOC (<1%) 4 files
Analyzers
Info about analyzers used for source code examinations.
  • *.java files are analyzed with JavaAnalyzer:
    • 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 (based on package names)
  • *.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


2022-01-31 18:24