https://github.com/guppster/codemetricsanalysis

Exploratory data science experiement with large dataset of code metrics
https://github.com/guppster/codemetricsanalysis

analysis codestyle machine-learning nlp visualization

Last synced: 3 months ago
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Exploratory data science experiement with large dataset of code metrics

• Host: GitHub
• URL: https://github.com/guppster/codemetricsanalysis
• Owner: Guppster
• License: mit
• Created: 2017-10-26T23:03:49.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-15T06:14:12.000Z (over 7 years ago)
• Last Synced: 2025-01-12T06:24:11.206Z (4 months ago)
• Topics: analysis, codestyle, machine-learning, nlp, visualization
• Language: HTML
• Homepage:
• Size: 2.7 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Evaluating Solution Correctness and Problem Difficulty Based on Code Metrics

Discovering the effects of code style on code functionality and problem structure.

abstract: This study aims to showcase how well formatted, reusable and maintainable code is fundamentally better in all circumstances by looking at over 1 million results from a competitive programming website and analyzing the correlation between question and solution. The goal is to promote code quality checking in online 'just in time' teaching resources to improve the performance of interviewers, researchers, and students.

## Final Report

[Final Report PDF](Report/Final.pdf)