modernmetric 1.6.0

Calculate code metrics in various languages

Modern Metric

Calculate code metrics and complexity in various languages

Purpose

This tool tries to calculate the following metrics for many, many programming languages

• Comment to Code percentage
• Cyclomatic complexity according to McCabe
• Difficulty according to Halstead
• Effort according to Halstead
• Fan-Out
• Lines of code
• Maintainability index
• Metric according to pylint
• Metric according to TIOBE
• Number of delivered bugs according to Halstead
• Time required to program according to Halstead
• Volume according to Halstead

This tool was heavily inspired by metrics

Requirements

• python3
• chardet
• Pygments

Installation

PyPi

simply run

pip3 install modernmetric

From source

• git clone this repository
• cd to <clone folder>
• Install the needed requirements by running pip3 install -r requirements.txt
• run python3 setup.py build

Usage

usage: modernmetric [-h] [--warn_compiler WARN_COMPILER]
                   [--warn_duplication WARN_DUPLICATION]
                   [--warn_functional WARN_FUNCTIONAL]
                   [--warn_standard WARN_STANDARD]
                   [--warn_security WARN_SECURITY] [--coverage COVERAGE]
                   [--bugpredict {old,new}]
                   [--maintindex {sei,classic,microsoft}]
                   [--file=path_to_filelist]
                   AND/OR
                   files [files ...]

Calculate code metrics in various languages

positional arguments:
  files                 Files to parse

optional arguments:
  -h, --help            show this help message and exit
  --file=path_to_filelist
                    Path to JSON filelist to scan. Format is:
                    [
                        {
                            "name": "test.c",
                            "path": "../testfiles/test.c"
                        }
                    ]
  --output_file=path to output, optional
  --warn_compiler WARN_COMPILER
                        File(s) holding information about compiler warnings
  --warn_duplication WARN_DUPLICATION
                        File(s) holding information about code duplications
  --warn_functional WARN_FUNCTIONAL
                        File(s) holding information about static code analysis findings
  --warn_standard WARN_STANDARD
                        File(s) holding information about language standard violations
  --warn_security WARN_SECURITY
                        File(s) File(s) holding information about found security issue
  --coverage COVERAGE   File(s) with compiler warningsFile(s) holding information about testing coverage
  --bugpredict {old,new}
                        Method how to calculate the bug prediction
  --maintindex {sei,classic,microsoft}
                        Method how to calculate the maintainability index

Currently you could import files of the following types for --warn_* or --coverage

Following information can be read

    <file> = full path to file
    <content> = either a string
    <severity> = optional severity

    Note: you could also add a single line, then <content>
        has to be a number reflecting to total number of findings

File formats

csv: CSV file of following line format
     <file>,<content>,<severity>

json: JSON file
     <file>: {
         "content": <content>,
         "severity": <severity>
     }

By default tool guesses the content type by the filename, if that doesn't work for you please see below

Output

Output will be written to stdout as json.

Output structure

• files contains a list of each file passed by CLI
• overall contains the calculated values for all passed files
• stats contains the statistically calculated values over all files passed see Statistical additions

Item structure

item	description	range	recommendation
comment_ratio	Comment to Code percentage	0..100	> 30.0
cyclomatic_complexity	Cyclomatic complexity according to McCabe	0..(inf)	< 10
fanout_external	Number imports from out of tree modules	0..(inf)
fanout_internal	Number imports from same source tree modules	0..(inf)
halstead_bugprop	Number of delivered bugs according to Halstead	0..(inf)	< 0.05
halstead_difficulty	Difficulty according to Halstead	0..(inf)
halstead_effort	Effort according to Halstead	0..(inf)
halstead_timerequired	Time required to program according to Halstead	0..(inf)
halstead_volume	Volume according to Halstead	0..(inf)
lang	list of identified programming languages	list
loc	Lines of code	1..(inf)
maintainability_index	Maintainability index	0..100	> 80.0
operands_sum	Number of used operands	1..(inf)
operands_uniq	Number of unique used operands	1..(inf)
operators_sum	Number of used operators	1..(inf)
operators_uniq	Number of unique used operators	1..(inf)
pylint	General quality score according to pylint	0..100	> 80.0
tiobe_compiler	Compiler warnings score according to TIOBE	0..100	> 90.0
tiobe_complexity	Complexity according to TIOBE	0..100	> 80.0
tiobe_coverage	Coverage according to TIOBE	0..100	> 80.0
tiobe_duplication	Code duplications score according to TIOBE	0..100	> 80.0
tiobe_fanout	Fan-Out score according to TIOBE	0..100	> 80.0
tiobe_functional	Functional defect score according to TIOBE	0..100	> 90.0
tiobe_security	Security score according to TIOBE	0..100	> 90.0
tiobe_standard	Language standard score according to TIOBE	0..100	> 80.0
tiobe	General quality score according to TIOBE	0..100	> 80.0

Statistics

The item stats contains in addition to the above mentioned the following items, which by themselves contain all the items mentioned at Item structure

• max = the maximum value of all items of the metric
• mean = statistical mean over all items of the metric
• median = statistical median over all items of the metric
• min = the minimum value of all items of the metric
• sd = standard deviation over all items of the metric

Further reading

• Pygments

Bugs & Contribution

Feel free to create issues or pull requests