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emerge is a code analysis tool that can be used to gather insights about source code structure, metrics, dependencies and complexity of software projects. It can scan the source code of a project and provide you an interactive web interface to explore and analyze your project by using graph structures (e.g. a dependency graph).

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emerge

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emerge is a code analysis tool that can be used to gather insights about source code structure, metrics, dependencies and complexity of software projects. It can scan the source code of a project, calculate metric results and statistics, map the source code to graph structures (e.g. a dependency graph or a filesystem graph) and further export the results in some file formats or even create an interactive web application for further exploration. The structure, coloring and clustering is calculated and based on the idea of combining a force-directed graph simulation and Louvain modularity. emerge is mainly written in Python 3 and is tested on macOS, linux and modern web browsers (i.e. latest Safari, Chrome, Firefox, Edge).

Goals of this project

emerge (/ɪˈməːdʒ/)

  • to appear by coming out of something or out from behind something
  • to become known, especially as a result of examining something or asking questions about it

The main goal of this project is to create a free/ open source tool, that can easily be used by anyone with interest in software development, architecture, metrics and visualization to gather more insights about those topics. It should facilitate/ support getting a better understanding of a given a software project.

The following features are currently supported by emerge

  • File scan support for the following languages: C, Groovy, Java, JavaScript, TypeScript, Kotlin, ObjC, Ruby, Swift
  • Basic entity scan/extraction (e.g. classes) for the following languages: Groovy, Java, Kotlin, Swift
  • Basic implementation of the following software metrics: SLOC, Number of Methods, Fan-In/Fan-Out, Modularity (Louvain)
  • Logging support with configurable log levels
  • Configuration support based on YAML syntax to configure multiple/specific analyses
  • Export of scan results/ metrics/ statistics for the following formats/ outputs
    • Code dependency, inheritance, complete and filesystem graph (enriched with scan results/metrics)
    • GraphML
    • Graphviz DOT format
    • JavaScript format suited for a D3 force graph simulation
    • Interactive HTML/ web application for interactive, exploratory analysis and data visualization of your project based on graph structures
      • HTML app is based on Bootstrap
      • Force-directed graph simulation by D3
      • Fast full-screen UI rendering on HTML canvas
      • Visualization of files, entities and given metrics
      • dark mode support
      • Reactive visual live search of files/ entities (e.g. classes)
      • Interactivity given by translation, zooming, dragging and hovering over nodes
    • Tabular console output
    • Tabular file output
    • JSON file output

How to install and use emerge

At this time there is no simple installation by using pip (tbd), so the following steps should guide you how to install this tool and get it running.

1. Clone this repository

git clone https://github.com/glato/emerge.git

2.1 (macOS) Install the graphviz package first

brew install graphviz

2.2 (macOS) Check of you have the latest Python 3 installed on your macOS. I recommend installing/using Python 3 from Homebrew. Create a Python 3 virtual environment (optionally within the project structure)

cd emerge
pip3 install virtualenv
virtualenv -p python3 venv

2. (ubuntu) Install required packages and create a Python 3 virtual environment (optionally within the project structure)

apt-get install python3-venv python3-dev graphviz graphviz-dev
cd emerge
python3 -m venv venv

3. Before using/working with the tool, activate the virtual environment

source venv/bin/activate

4. (macOS) Install all required dependencies for the project with pip

pip install -r requirements.txt

4. (ubuntu) Install the wheel package, after that install all required dependencies for the project with pip

pip install wheel
pip install -r requirements.txt

5. Running unit tests from the command line

python run_tests.py

6. Running EMERGE as a standalone tool

python emerge.py 
usage: emerge.py [-h] [-c YAMLCONFIG] [-v] [-d] [-s]

Welcome to emerge x.y.z (yyyy-mm-dd hh:mm:ss).

optional arguments:
  -h, --help            show this help message and exit
  -c YAMLCONFIG, --config YAMLCONFIG
                        set yaml config file
  -v, --verbose         set logging level to INFO
  -d, --debug           set logging level to DEBUG
  -s, --silent          run silently without any console output

7. Create a YAML configuration for your scan or copy/adjust a template example from the configs directory. The template examples in emerge/configs should be mostly self-documenting. For a quick run, it's enough to adjust source_directory and directory in export.

---
project_name: c-example-project
loglevel: info
analyses:
- analysis_name: check_c_files
  source_directory: /Users/user1/emerge/project/source/github/linux-5.8.5/crypto
  only_permit_languages:
  - c
  only_permit_file_extensions:
  - .c
  - .h
  ignore_dependencies_containing:
  - string.h
  file_scan:
  - number_of_methods
  - source_lines_of_code
  - dependency_graph
  - louvain_modularity
  - fan_in_out
  export:
  - directory: /Users/user1/emerge/project/export
  - graphml
  - dot
  - json
  - tabular_file
  - tabular_console_overall
  - d3

8. Running EMERGE with a specific YAML configuration (e.g. a customized emerge/config/c-template.yaml)

python emerge.py -c configs/c-template.yaml

... which should produce a similar output:

...   analysis I 👉 starting to analyze c-example-project
...   analysis I ⏩ performing analysis 1/1: check_c_files
...   analysis I 👉 starting token extraction for file results in check_c_files
...   analysis I ⏩ starting scan at directory: .../github/linux-5.8.5/crypto
...
...   analysis I ✅ scanning complete
...   analysis I 👉 starting code metric calculation for analysis check_c_files
...   analysis I ⏩ calculating metric results for: number of methods metric
...   analysis I ⏩ calculating metric results for: source lines of code metric
...   analysis I ✅ done calculating code metric results
...   analysis I 👉 starting graph metric calculation for analysis check_c_files
...   analysis I ⏩ calculating metric results for: louvain modularity metric
...   analysis I ⏩ calculating metric results for: fan in out metric
...   analysis I ✅ done calculating graph metric results
...     emerge I ✅ successfully copied output to /Users/user1/emerge/project/export/force-graph-html
...   analysis I 👉 the following statistics were collected in check_c_files
+-------------------------------------+-------------------+
|                      statistic name | value             |
+-------------------------------------+-------------------+
|                        parsing_hits | 1196              |
|                    scanning_runtime | 00:00:06 + 424 ms |
|                       scanned_files | 163               |
|                       skipped_files | 16                |
|              extracted_file_results | 163               |
|    number-of-methods-metric-runtime | 00:00:40 + 331 ms |
| source-lines-of-code-metric-runtime | 00:00:00 + 99 ms  |
|   louvain-modularity-metric-runtime | 00:00:04 + 229 ms |
|           fan-in-out-metric-runtime | 00:00:00 + 18 ms  |
+-------------------------------------+-------------------+
...   analysis I 👉 the following overall metrics were collected in check_c_files
+----------------------------------------------+------------------------------+
|                                  metric name | value                        |
+----------------------------------------------+------------------------------+
|                avg-number-of-methods-in-file | 17.91                        |
|                             avg-sloc-in-file | 224.44                       |
|         louvain-communities-dependency-graph | 11                           |
|          louvain-modularity-dependency-graph | 0.44                         |
| louvain-biggest-communities-dependency-graph | 0.24, 0.19, 0.14, 0.13, 0.11 |
|                  avg-fan-in-dependency-graph | 3.53                         |
|                 avg-fan-out-dependency-graph | 3.53                         |
|                  max-fan-in-dependency-graph | 132                          |
|             max-fan-in-name-dependency-graph | linux/module.h               |
|                 max-fan-out-dependency-graph | 18                           |
|            max-fan-out-name-dependency-graph | testmgr.c                    |
+----------------------------------------------+------------------------------+
...  analysis I ✅ all your generated/exported data can be found here: /Users/user1/emerge/project/export
...   analysis I ✅ you can browse your interactive web app at: file:///Users/user1/emerge/project/export/force-graph-html/d3-force-graph-template.html
...   analysis I ✅ calculated and collected metric data
...     emerge I ✅ total runtime: 00:00:35 + 876 ms

A full YAML configuration that contains both file and entity scan has the following format:

---
project_name: java_project_example
loglevel: info
analyses:
- analysis_name: check_java_files_and_classes
  source_directory: /Users/user1/emerge/project/source
  only_permit_languages:
  - java
  only_permit_file_extensions:
  - .java
  ignore_dependencies_containing:
  - java.util
  file_scan:
  - number_of_methods
  - source_lines_of_code
  - dependency_graph
  - fan_in_out
  - louvain_modularity
  entity_scan:
  - dependency_graph
  - source_lines_of_code
  - number_of_methods
  - fan_in_out
  - louvain_modularity
  export:
  - directory: /Users/user1/emerge/project/export
  - graphml
  - dot
  - json
  - tabular_file
  - tabular_console_overall
  - d3

The YAML configuration is basically defined at the following levels:

project level

key value/ description
project_name a project name for all analyses, scans and exports
loglevel set a loglevel: error (silent, only errors), info (includes error) gives you basic logs about control flow, debug (includes info) will produce a lot of debug logs
analyses an array of analyses that can be configured individually, thus a project can contain one to many analyses.

analysis level

key value/ description
analysis_name a specific analysis name
source_directory the source directory where the recursive file scan should start
ignore_files_containing exclude file names from the scan that contain the given substrings
ignore_directories_containing exclude directory names from the scan that contain the given substrings
only_permit_languages possible values include: java, kotlin, objc, swift, ruby, groovy, javascript, c - explicitly prevents any other language from scanning besides the one you set here
only_permit_file_extensions explicitly permit the following file extensions you set here, e.g. .java
ignore_dependencies_containing ignore every dependency included in this list of substrings, e.g. java.util
file_scan perform a file scan, contains the metrics that should be applied on every source file
entity_scan perform an entity scan, contains the metrics that should be applied on every entity (e.g. on every class)
export contains any export formats that should be create as output

file_scan metrics

key value/ description
dependency_graph create a dependency graph structure based on source files, additional metrics will be added to the graph nodes
source_lines_of_code apply a source lines of code metric to every file, create an overall metric
number_of_methods apply a number of methods metric to every file, create an overall metric
fan_in_out apply a fan in/ fan out graph metric to every file, create an overall metric
louvain_modularity apply a louvain modularity metric to every file, create an overall metric

entity_scan metrics

key value/ description
dependency_graph create a dependency graph structure based on extracted entities from files, additional metrics will be added to the graph nodes
inheritance_graph create an inheritance graph structure based on extracted entities from files, additional metrics will be added to the graph nodes
complete_graph create a complete graph structure (union of dependency/ inheritance graph) based on extracted entities from files, additional metrics will be added to the graph nodes
source_lines_of_code apply a source lines of code metric to every entity, create an overall metric
number_of_methods apply a number of methods metric to every entity, create an overall metric
fan_in_out apply a fan in/ fan out graph metric to every entity, create an overall metric
louvain_modularity apply a louvain modularity metric to every entity, create an overall metric

export configuration

key value/ description
directory the output directory for all specified export formats
graphml create a graphML file that contains the graph structure and metric results mapped to the nodes of the graph
tabular_file create a tabular formatted text file that contains every metric and statistic result
tabular_console print a tabular formatted output to console that contains every metric and statistic result
tabular_console_overall print a tabular formatted output to console that contains only overall metric and statistic results
json create a JSON file that contains every metric and statistic result
dot create a DOT file that contains the graph structure and metric results mapped to the nodes of the graph
d3 create a Bootstrap/D3 web application in the subfolder force-graph-html for further visual and interactive/ exploratory analysis

The current version 0.13.0 supports the following scan types/ parsing keywords

Parse/Language Groovy Java Kotlin Swift Ruby JavaScript TypeScript ObjC C
Files
Entities ✅ class ✅ class ✅ class/object ✅ class/struct
  • Parsing of further entity types for more languages is planned for further development. Contributions are welcome 👍

Further development

  • Disclaimer: The current version (0.13.0) is not yet stable, probably still has some 🐞 and is probably not yet suited for productive usage.
  • Everyone is invited to contribute to this project, whether the contribution is related with development, testing, bug reporting or any other support. I would appreciate any help 👍. See Contributing and Credits for further details.

About

emerge is a code analysis tool that can be used to gather insights about source code structure, metrics, dependencies and complexity of software projects. It can scan the source code of a project and provide you an interactive web interface to explore and analyze your project by using graph structures (e.g. a dependency graph).

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