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tic-complexity-study

https://github.com/dzhovi/tic-complexity-study

Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    4 of 37 committers (10.8%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.2%) to scientific vocabulary

Keywords from Contributors

programming-language cyclomatic-complexity metrics-gathering eolang object-oriented object-oriented-language object-oriented-programming http-server java-framework xml-xslt
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: dzhovi
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 10 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 4
Created 10 months ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

DOI

Impact of Import instructions on code complexity

Project Structure

  • /cam — this directory contains scripts that are used to scrape, filter and calculate complexity metrics over a given dataset. This directory is a fork of the cam-0.9.3 repository, optimized and enhanced with features, specific for study impact of import instructions on code complexity
  • /cam/dataset/data — Directory that contains results with calculated complexity metrics over each Java repository from dataset
  • main.ipynb — A IPYNB notebook used for data analysis.

Steps to Reproduce the Results

  1. [Optional] Regenerate the Dataset:

    Download dataset data.zip unzip w/dataset/github directory into cam/datatset/github to store initial raw data

    Go into the script directory and follow the steps in its README.md to metrics dataset. As calculation finished, cam/dataset/data would contain required metrics.

  2. Set Up Python Environment:
    Install Python version 3.10 or above and create a virtual environment called .venv: bash python3 -m venv .venv source .venv/bin/activate

  3. Install Required Packages:
    Install the required dependencies: bash pip install -r requirements.txt

  4. Run the Jupyter Notebook:
    Launch Jupyter Notebook and open main.ipynb to begin the analysis.

Owner

  • Login: dzhovi
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this thesis in your research, please cite it as below."
title: "Analyzing the Impact of Imports on Code Complexity: A Correlation-Based Study"
abstract: |
  The high complexity of a Java class and its tight coupling with other classes are two primary factors that reduce class maintainability.
  Existing metrics that measure complexity and coupling, such as McCabe's CC, WMC, and Fan-Out, are hard to evaluate precisely,
  especially for the latest version of Java syntax. We introduced TIC, a new metric that is a count of “import” statements,
  and demonstrated moderate Spearman’s correlation with WMC (ρ = 0.458) and strong Spearman’s correlation with Fan-Out (ρ = 0.701).
  We suggest that TIC may be used as a proxy for class maintainability when precision is not a priority.
version: "1.0.0"
doi: "10.5281/zenodo.XXXXX"
repository-code: "https://github.com/dzhovi/tic-complexity-study"
url: "https://github.com/dzhovi/tic-complexity-study"
date-released: "2025-05-18"
authors:
  - family-names: Vakhidov
    given-names: Dzhovdion
    orcid: "https://orcid.org/0009-0009-0233-995X"
    affiliation: "Innopolis University"
  - family-names: Bugayenko
    given-names: Yegor
    orcid: "https://orcid.org/0000-0001-6370-0678"
    affiliation: "Huawei"
keywords:
  - Java
  - software complexity
  - code metrics
  - coupling
  - import count
license: Apache-2.0

GitHub Events

Total
  • Release event: 4
  • Push event: 6
  • Create event: 6
Last Year
  • Release event: 4
  • Push event: 6
  • Create event: 6

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 1,635
  • Total Committers: 37
  • Avg Commits per committer: 44.189
  • Development Distribution Score (DDS): 0.464
Past Year
  • Commits: 234
  • Committers: 12
  • Avg Commits per committer: 19.5
  • Development Distribution Score (DDS): 0.774
Top Committers
Name Email Commits
Yegor Bugayenko y****6@g****m 877
zaqbez39me k****k@m****u 122
renovate[bot] 2****] 71
IlnurHA I****a@m****u 63
Timur Harin t****4@g****m 49
Alexander Afonin 6****e 42
dzhovi s****7@y****u 41
ilnarkhasanov 4****p@g****m 41
padjal d****l@g****m 37
dzhovi a****1@g****m 32
MoromugHSE a****n@e****u 28
Aleksandr Ryabov a****v@i****y 27
Nail Minnemullin n****n@m****u 21
Bogdan Savko k****f@g****m 21
h1alexbel a****i@h****m 19
rultor r****r 17
h1alexbel h****l@g****m 16
Ян Козыренко k****8@m****u 15
rocket g****s@g****m 15
rliskunov l****a@y****u 12
LaithAlebrahim l****m@i****y 12
Lillias a****1@e****u 8
Alena Vasileva A****a@y****u 7
IlyaPechersky f****e@m****u 7
ocelot335 1****5 7
Mark Paronyan m****n@g****m 6
volodya-lombrozo v****o@g****m 5
nikzor n****3@g****m 3
evermake v****n@g****m 3
Zener_085 5****5 2
and 7 more...
Committer Domains (Top 20 + Academic)
mail.ru: 5 yandex.ru: 3 innopolis.university: 2 edu.hse.ru: 2 niuitmo.ru: 1 hey.com: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
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Dependencies

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.github/workflows/yamllint.yml actions
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cam/Dockerfile docker
  • ubuntu 24.04 build
cam/fixtures/jaxec/pom.xml maven
  • com.jcabi:jcabi-log 0.24.3
cam/requirements.txt pypi
  • cffconvert ==2.0.0
  • chardet ==5.2.0
  • flake8 ==7.0.0
  • javalang ==0.13.0
  • multimetric ==1.3.0
  • mypy ==1.12.1
  • pylint ==3.2.7
  • samples-filter ==0.5.1