AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model

This is the artifact of the paper AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-13
DOI
https://doi.org/10.5281/zenodo.16836603
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model

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Abstract

This is the artifact of the paper AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model.

Zenodo (CERN European Organization for Nuclear Research)
Chinese Academy of Sciences (CN), Institute of Software (CN)
Quality Education
Openalex Percentile: Top 52%
Generative Adversarial Networks and Image Synthesis
DOIOpen Access PDFOpenAlex
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AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS