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Code for paper, "TransClone: A Language Agnostic Code Clone Detector", IWSC 2023

Python 16.06% Shell 1.76% Perl 0.10% Jupyter Notebook 31.29% C++ 0.13% Java 22.28% Makefile 0.17% HTML 3.79% C 15.12% M4 0.32% PHP 0.03% Lex 0.33% Roff 2.48% Yacc 1.27% Turing 1.68% Assembly 0.08% SWIG 0.01% TXL 3.13%
code-clone-detector code-clones cross-language deep-learning software-engineering

transclone's Introduction

TransClone

Code for paper, "TransClone: A Language Agnostic Code Clone Detector", IWSC 2023

Requirements

  • Make sure that you have both client and dev version of srcML
  • Transcoder is already provided in this repository.
  • The tool was developed and tested on machines with GPU, Nvidia RTX3080 and RTX3080ti.
  • It works on CPU only machines too, however, GPU is preffered.
  • It currently supports Java and Python.

To setup all dependencies

run setup.sh

To run the tool

Contact

Subroto Nag Pinku, E-mail: [email protected]

transclone's People

Contributors

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