Analysis scope, overview of main, test, generated, deployment, build, and other code.
Source Code Analysis Scope
Files includes and excluded from analyses
- 7 extensions are included in analyses: Rd, R, md, py, ipynb, txt, json
- 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) (0 files).
- The source code folder contains 19 files:
- 14 files are included in analyses.
- 5 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 ".*".
- 6 files match defined criteria (203 lines of code, 100.0% vs. main code):
- 3 *.py files (131 lines of code)
- 3 *.r files (72 lines of code)
- " *.py" is biggest, containing 64.53% of code.
- " *.r" is smallest, containing 35.47% of code.
Other Code
- The following criteria are used to filter files:
- files with paths like ".*/[Mm]an/.*".
- files with paths like ".*[.]md".
- files with paths like ".*/README[.][a-z0-9]+".
- files with paths like ".*[.]txt".
- files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
- 8 files match defined criteria (2,070 lines of code, 1019.7% vs. main code):
- 2 *.ipynb files (1,724 lines of code)
- 3 *.md files (245 lines of code)
- 3 *.rd files (101 lines of code)
- " *.ipynb" is biggest, containing 83.29% of code.
- " *.rd" is smallest, containing 4.88% of code.
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
- *.r files are analyzed with RAnalyzer:
- 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
2022-01-25 19:58