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