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Repository to our survey on source code representations for security-related tasks.

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s2e-lab/code-representation-slr

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Overview

Repository for the following paper: A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks by Casey et al 2023.

Folder Structure

This repository has two folders:

  • analyses: it has the CSV files with the metadata for the papers we analyzed.
  • search: it has the CSV files downloaded from our thee major sources (ACM, IEEE Xplore, and SpringerLink).

Folder: search

This folder has the following CSV files:

  • ACM_papers.csv:
  • IEEE_papers.csv:
  • SpringerLink_papers.csv:
  • surveyed_papers.csv: It contains the basic metadata for the papers we surveyed. This CSV has the columns:
    • id: a unique identified that we assigned for the paper.
    • title: paper's title
    • bibtex_id: paper's BibTex ID (which you can use to cite it from the file analyses/srl.bib)
    • url: the URL to access the paper's publication.
    • doi: Digital Object Identifier (DOI)

Folder: analyses

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Repository to our survey on source code representations for security-related tasks.

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