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Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2)

This repository contains open science data used in the paper

M. Lajkó, V. Csuvik and L. Vidacs, Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2)

submitted at the 3rd International Workshop on Automated Program Repair (APR 2022).

The repository contains 3 folders:

  • source : contains the plain code, in source/README there is a descripton about how to run the code (running the code will create addition files, checkpoints etc. in source)
  • APR_Data: Contains the dataset (gitter_commits), running the code described above will create a no comment version of this dataset and all experiment directories will be created in this folder (the experiment directory's name can be given to the code as a parameter: example experiment dir can be found below)
  • paper_exp_dir: This is the experiment directory which is the base of the paper submitted.

In each directory we provide a README file that describes the structure of the folder in question.

  • APR22-JS-GPT/paper_exp_dir/candidates.txt: Examples in Qualitative evaluation section can be found here
  • APR22-JS-GPT/paper_exp_dir/Matches.txt: Base of Table 1 in Quantitative evaluation

The code was designed to work for all kind of programming languages, although we made experiments for javascript only.

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