Analysis scope, overview of main, test, generated, deployment, build, and other code.
Source Code Analysis Scope
Files includes and excluded from analyses
- 32 extensions are included in analyses: c, h, nasm, py, S, asm, yaml, bat, md, txt, inc, json, yml, cpp, ini, mak, g, gitignore, html, cmd, rst, r, s, lds, ps, pyw, xml, g4, gitmodules, nsh, xsd, pl
- 5 criteria are used to exclude files from analysis:
- exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (57 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) (24 files).
- The source code folder contains 5,947 files:
- 4,316 files are included in analyses.
- 1,631 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 ".*".
- 4164 files match defined criteria (967,840 lines of code, 100.0% vs. main code):
- 1,720 *.c files (589,113 lines of code)
- 1,514 *.h files (161,249 lines of code)
- 324 *.py files (112,886 lines of code)
- 380 *.nasm files (53,802 lines of code)
- 94 *.s files (25,789 lines of code)
- 4 *.g files (8,837 lines of code)
- 11 *.cpp files (7,787 lines of code)
- 59 *.asm files (3,557 lines of code)
- 2 *.r files (975 lines of code)
- 1 *.pyw files (889 lines of code)
- 29 *.yaml files (835 lines of code)
- 1 *.g4 files (518 lines of code)
- 18 *.inc files (515 lines of code)
- 2 *.html files (510 lines of code)
- 1 *.pl files (334 lines of code)
- 2 *.lds files (128 lines of code)
- 1 *.yml files (64 lines of code)
- 1 *.nsh files (52 lines of code)
- " *.c" is biggest, containing 60.87% of code.
- " *.nsh" 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 ".*/UnitTests?/.*".
- files with paths like ".*/[Tt]ests/.*".
- files with paths like ".*/test_.*".
- files with paths like ".*/[Tt]est/.*".
- files with any line of content like ".*/simpletest/.*".
- 51 files match defined criteria (18,833 lines of code, 1.9% vs. main code):
- 28 *.c files (14,673 lines of code)
- 15 *.py files (2,881 lines of code)
- 6 *.h files (1,200 lines of code)
- 2 *.cmd files (79 lines of code)
- " *.c" is biggest, containing 77.91% of code.
- " *.cmd" is smallest, containing 0.42% of code.
Generated Code
Automatically generated files, not manually changed after generation.
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 ".*/[.]gitignore".
- files with paths like ".*/[.]gitmodules".
- files with paths like ".*[.]bat".
- files with paths like ".*[.]mak".
- 48 files match defined criteria (1,969 lines of code, 0.2% vs. main code):
- 41 *.bat files (1,211 lines of code)
- 7 *.mak files (758 lines of code)
- " *.bat" is biggest, containing 61.5% of code.
- " *.mak" is smallest, containing 38.5% 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 ".*[.]ini".
- files with paths like ".*[.]txt".
- files with paths like ".*[.](rst|rest|resttxt|rsttxt)".
- files with paths like ".*/README[.][a-z0-9]+".
- files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
- 52 files match defined criteria (6,110 lines of code, 0.6% vs. main code):
- 1 *.xsd files (3,053 lines of code)
- 24 *.md files (2,068 lines of code)
- 9 *.ini files (427 lines of code)
- 1 *.xml files (319 lines of code)
- 2 *.rst files (147 lines of code)
- 15 *.json files (96 lines of code)
- " *.xsd" is biggest, containing 49.97% of code.
- " *.json" is smallest, containing 1.57% of code.
Analyzers
Info about analyzers used for source code examinations.
- *.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
- *.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
- *.nasm 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
- *.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
- *.g 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
- *.cpp 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
- *.asm 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
- *.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
- *.pyw 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
- *.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
- *.g4 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
- *.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
- *.html files are analyzed with HtmlAnalyzer:
- 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
- *.pl files are analyzed with PerlAnalyzer:
- 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
- *.lds 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
- *.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
- *.nsh files are analyzed with AdabasNaturalAnalyzer:
- 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 22:07