Analysis scope, overview of main, test, generated, deployment, build, and other code.
Source Code Analysis Scope
Files includes and excluded from analyses
- 18 extensions are included in analyses: tf, json, yml, sh, md, gitignore, py, gitattributes, kts, txt, js, java, bat, gitmodules, eslintignore, properties, yaml, ts
- 6 criteria are used to exclude files from analysis:
- exclude files with path like ".*/gradle/wrapper/.*" (Gradle) (1 file).
- exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (17 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).
- The source code folder contains 119 files:
- 87 files are included in analyses.
- 32 files are excluded from analyses:
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.
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
- The following criteria are used to filter files:
- files with paths like ".*".
- 44 files match defined criteria (861 lines of code, 100.0% vs. main code):
- 35 *.tf files (444 lines of code)
- 2 *.py files (203 lines of code)
- 2 *.yml files (121 lines of code)
- 2 *.kts files (39 lines of code)
- 1 *.ts files (27 lines of code)
- 1 *.yaml files (16 lines of code)
- 1 *.java files (11 lines of code)
- " *.tf" is biggest, containing 51.57% of code.
- " *.java" is smallest, containing 1.28% of code.
Test Code
Used only for testing of the product. Normally not deployed in a production environment.
Build and Deployment Code
Source code used to configure or support build and deployment process.
- The following criteria are used to filter files:
- files with paths like ".*[.]sh".
- files with paths like ".*[.]git[a-z]+".
- files with paths like ".*/[.]gitattributes".
- files with paths like ".*[.]bat".
- files with paths like ".*/[.]gitignore".
- files with paths like ".*/[.]gitmodules".
- files with paths like ".*/package[.]json".
- 8 files match defined criteria (157 lines of code, 18.2% vs. main code):
- 7 *.sh files (89 lines of code)
- 1 *.bat files (68 lines of code)
- " *.sh" is biggest, containing 56.69% of code.
- " *.bat" is smallest, containing 43.31% of code.
Other Code
- The following criteria are used to filter files:
- files with paths like ".*[.]md".
- files with paths like ".*[.]properties".
- files with paths like ".*/[.]gitignore".
- files with paths like ".*[.]txt".
- files with paths like ".*[.]json".
- files with paths like ".*/README[.][a-z0-9]+".
- files with paths like ".*/[.]eslintignore".
- 14 files match defined criteria (381 lines of code, 44.3% vs. main code):
- 10 *.json files (256 lines of code)
- 4 *.md files (125 lines of code)
- " *.json" is biggest, containing 67.19% of code.
- " *.md" is smallest, containing 32.81% of code.
Analyzers
Info about analyzers used for source code examinations.
- *.tf 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
- *.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
- *.kts files are analyzed with KotlinAnalyzer:
- 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 (based on imports and package statements)
- *.ts files are analyzed with TypeScriptAnalyzer:
- 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
- *.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
- *.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)
2022-02-01 02:42