tushartushar/ML4SCA

Machine Learning for Source Code Analysis

31
/ 100
Emerging

This project helps software engineering researchers and practitioners keep up-to-date with the latest studies applying machine learning to source code analysis. It provides a structured collection of research papers, detailing what machine learning techniques were used, the type of code analysis performed, and other relevant metadata. The primary user for this resource is anyone in the software engineering community looking for a comprehensive survey of ML applications in this domain.

No commits in the last 6 months.

Use this if you are a software engineering researcher or practitioner who needs to quickly find and understand existing studies on machine learning for source code analysis.

Not ideal if you are looking for a tool or library to directly perform source code analysis tasks rather than a survey of academic research.

software-engineering-research source-code-analysis machine-learning-applications academic-survey program-comprehension
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 9 / 25

How are scores calculated?

Stars

17

Forks

2

Language

Python

License

Apache-2.0

Last pushed

Nov 20, 2023

Commits (30d)

0

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