Analysis scope, overview of main, test, generated, deployment, build, and other code.
Source Code Analysis Scope
Files includes and excluded from analyses
- 17 extensions are included in analyses: c, h, swift, S, json, txt, md, sh, yaml, py, patch, in, gitignore, gitattributes, plist, cmake, inc
- 6 criteria are used to exclude files from analysis:
- exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (8 files).
- exclude files with path like ".*/(3rd|[Tt]hird)[-_]?[Pp]arty/.*" (Dependencies) (4 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 ".*/sokrates_conventions[.]json" (Sokrates scoping conventions) (1 file).
- exclude files with path like ".*[.]txt" (Text files) (15 files).
- The source code folder contains 735 files:
- 687 files are included in analyses.
- 48 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 ".*".
- 617 files match defined criteria (304,777 lines of code, 100.0% vs. main code):
- 101 *.s files (168,837 lines of code)
- 305 *.c files (73,009 lines of code)
- 127 *.h files (49,819 lines of code)
- 72 *.swift files (6,410 lines of code)
- 1 *.inc files (5,715 lines of code)
- 2 *.py files (770 lines of code)
- 1 *.cmake files (101 lines of code)
- 7 *.yaml files (100 lines of code)
- 1 *.in files (16 lines of code)
- " *.s" is biggest, containing 55.4% of code.
- " *.in" is smallest, containing 0.01% of code.
Test Code
Used only for testing of the product. Normally not deployed in a production environment.
- The following criteria are used to filter files:
- files with paths like ".*/[Tt]ests/.*".
- files with paths like ".*_test[.].*".
- files with any line of content like ".*/simpletest/.*".
- 30 files match defined criteria (4,514 lines of code, 1.5% vs. main code). All matches are in *.swift files.
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 ".*[.]git[a-z]+".
- files with paths like ".*/[.]gitattributes".
- files with paths like ".*/[.]gitignore".
- files with paths like ".*/docker[-]compose[.]yaml".
- files with paths like ".*[.]sh".
- 9 files match defined criteria (635 lines of code, 0.2% vs. main code):
- 8 *.sh files (606 lines of code)
- 1 *.yaml files (29 lines of code)
- " *.sh" is biggest, containing 95.43% of code.
- " *.yaml" is smallest, containing 4.57% of code.
Other Code
- The following criteria are used to filter files:
- files with paths like ".*[.]json".
- files with paths like ".*[.]md".
- files with paths like ".*/[.]gitignore".
- files with paths like ".*[.]plist".
- files with paths like ".*[.]txt".
- files with paths like ".*/LICENSE[.][a-z0-9]+".
- files with paths like ".*/README[.][a-z0-9]+".
- files with paths like ".*[.]patch".
- 31 files match defined criteria (86,168 lines of code, 28.3% vs. main code):
- 24 *.json files (85,932 lines of code)
- 5 *.md files (201 lines of code)
- 2 *.patch files (35 lines of code)
- " *.json" is biggest, containing 99.73% of code.
- " *.patch" is smallest, containing 0.04% of code.
Analyzers
Info about analyzers used for source code examinations.
- *.s files are analyzed with DefaultLanguageAnalyzer:
- All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
- Basic code cleaning (empty lines removed for LOC calculations and duplication calculations)
- No unit size analysis
- No conditional complexity analysis
- No dependency analysis
- *.c files are analyzed with CStyleAnalyzer:
- 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
- *.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
- *.swift files are analyzed with SwiftAnalyzer:
- 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
- *.inc files are analyzed with PhpAnalyzer:
- 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
- *.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
- *.cmake files are analyzed with DefaultLanguageAnalyzer:
- All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
- Basic code cleaning (empty lines removed for LOC calculations and duplication calculations)
- No unit size analysis
- No 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
- *.in files are analyzed with RustAnalyzer:
- 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
2022-01-30 21:59