SynShine: Improved Fixing of Syntax Errors

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Apr 2023Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Software Engineering, volume 49, pages 2,169-2,181 (issn: 0098-5589, eissn: 2326-3881,

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Authors: Toufique Ahmed; Noah Rose Ledesma; Premkumar T. Devanbu;

doi: 10.1109/tse.2022.3212635 , 10.5281/zenodo.7789329 , 10.5281/zenodo.4572390 , 10.5281/zenodo.4563241

SynShine: Improved Fixing of Syntax Errors

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Abstract

1. For pre-training and fine-tuning please install Hugging Face Transformers version 2.11.0 (pip install transformers==2.11.0). However, we shared both pre-trained and fine-tuned model. 2. For BlockFix please use Tensorflow 1.13 and Keras 2.2.4 (10.5281/zenodo.4420845 for BlockFix Implementation) 3. Install any recent version of JDK for javac. We used JDK-13 We take help from the following repositories for the implementation: https://github.com/huggingface/transformers/tree/v2.11.0/examples/language-modeling https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_multi_label_classification.ipynb To avoid any form of dependency issue, pull the docker from the following link: https://hub.docker.com/repository/docker/toufique90/synfix For VSCode extension, please go to the following repo: https://github.com/NoahRoseLedesma/synshine-distribution

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University of California, Davis
United States

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