https://github.com/cqfn/veniq
Veniq uses Machine Learning to analyze source code, find possible refactorings, and suggest those that seem optimal
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.3%) to scientific vocabulary
Keywords
Repository
Veniq uses Machine Learning to analyze source code, find possible refactorings, and suggest those that seem optimal
Basic Info
Statistics
- Stars: 20
- Watchers: 5
- Forks: 3
- Open Issues: 23
- Releases: 0
Topics
Metadata Files
README.md
Introduction
Almost every developer would be glad to delegate their routine tasks. Technical debt is the kind of routine we usually do not have time to do. Leaving technical debt may help product development in the short term, but can ruin the project in the long term.
A Long Method code smell and its Extract Method refactoring are among most popular refactorings
developers do. However, there is no consensus how to do Extract Method exactly.
In our research project we are aimed to create an Extract Method recommender system using Machine Leanning. The system takes in a source-code of a Java method
and recommends how decompose it into two parts.
We are interested in study factors inluencing how developers prefer to do Extract Method refactoring.
Owner
- Name: CQFN
- Login: cqfn
- Kind: organization
- Email: team@cqfn.org
- Website: https://www.cqfn.org
- Repositories: 22
- Profile: https://github.com/cqfn
Code Quality Foundation
GitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Evgeny Maslov | l****r@g****m | 152 |
| Yaroslav Kishchenko | y****o@g****m | 119 |
| Vitaly Protasov | i****o@y****u | 109 |
| Katya Garmash | k****a@L****m | 27 |
| Katya Garmash | k****h@g****m | 15 |
| Ekaterina Garmash WX5328958 | e****h@h****m | 13 |
| Anton | a****v@g****m | 5 |
| Alexander Iovlev | a****v@g****m | 2 |
| Alexander Iovlev | a****v@h****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 75
- Total pull requests: 112
- Average time to close issues: about 2 months
- Average time to close pull requests: 11 days
- Total issue authors: 6
- Total pull request authors: 7
- Average comments per issue: 0.43
- Average comments per pull request: 0.53
- Merged pull requests: 64
- Bot issues: 0
- Bot pull requests: 14
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
Top Authors
Issue Authors
- lyriccoder (19)
- aravij (12)
- KatGarmash (4)
- Vitaly-Protasov (2)
- acheshkov (1)
- portlek (1)
Pull Request Authors
- lyriccoder (22)
- aravij (18)
- KatGarmash (5)
- Vitaly-Protasov (5)
- dependabot[bot] (5)
- dependabot-preview[bot] (5)
- aiovlev (2)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- beautifulsoup4 ==4.8.2
- bs4 ==0.0.1
- cached-property ==1.2.0
- cchardet ==2.1.6
- deprecated ==1.2.10
- flake8 ==3.7.9
- javalang ==0.13.0
- lxml ==4.5.0
- matplotlib ==3.2.1
- mypy ==0.770
- networkx ==2.4
- pandas ==1.1.2
- pebble ==4.5.3
- tqdm ==4.32.1
- typing-extensions *
- wheel >=0.30.0