aws-samples / machine-learning-samples
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
properties
  • 13 extensions are included in analyses: py, md, json, java, scala, gitignore, h, m, txt, sh, xml, sbt, properties
  • 5 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).
    • exclude files with path like ".*[.]txt" (Text files) (1 file).
    • 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.

main1601 LOC (58%) 25 files
test0 LOC (0%) 0 files
generated0 LOC (0%) 0 files
build and deployment12 LOC (<1%) 2 files
other1102 LOC (40%) 27 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 ".*".
  • 25 files match defined criteria (1,601 lines of code, 100.0% vs. main code):
    • 19 *.py files (1,473 lines of code)
    • 2 *.m files (76 lines of code)
    • 1 *.java files (40 lines of code)
    • 2 *.h files (7 lines of code)
    • 1 *.sbt files (5 lines of code)
  • " *.py" is biggest, containing 92% of code.
  • " *.sbt" is smallest, containing 0.31% of code.


*.py1473 LOC (92%) 19 files
*.m76 LOC (4%) 2 files
*.java40 LOC (2%) 1 files
*.h7 LOC (<1%) 2 files
*.sbt5 LOC (<1%) 1 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 ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*[.]sh".
  • 2 files match defined criteria (12 lines of code, 0.7% vs. main code). All matches are in *.sh files.


*.sh12 LOC (100%) 2 files
Other Code
properties
Explore:   circles  |  sunburst
  • 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 ".*[.]json".
    • files with paths like ".*/[Ss]amples/.*".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*[.]txt".
    • files with paths like ".*[.]properties".
    • files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
  • 27 files match defined criteria (1,102 lines of code, 68.8% vs. main code):
    • 9 *.md files (456 lines of code)
    • 5 *.java files (283 lines of code)
    • 4 *.scala files (155 lines of code)
    • 2 *.xml files (124 lines of code)
    • 6 *.json files (83 lines of code)
    • 1 *.properties files (1 lines of code)
  • " *.md" is biggest, containing 41.38% of code.
  • " *.properties" is smallest, containing 0.09% of code.


*.md456 LOC (41%) 9 files
*.java283 LOC (25%) 5 files
*.scala155 LOC (14%) 4 files
*.xml124 LOC (11%) 2 files
*.json83 LOC (7%) 6 files
*.properties1 LOC (<1%) 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
  • *.m 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
  • *.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)
  • *.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
  • *.sbt files are analyzed with ScalaAnalyzer:
    • 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 15:39