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ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Conference object . 2022
License: CC BY
Data sources: ZENODO
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Automating Code Review Activities by Large-Scale Pre-Training

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 15 Mar 2022Publisher:Zenodo

doi: 10.5281/zenodo.6900648

Automating Code Review Activities by Large-Scale Pre-Training

Abstract

Resources related by the research work "Automating Code Review Activities by Large-Scale Pre-Training". CodeReviewer.zip contains the source code for pre-training and finetuning our model; Diff_Quality_Estimation.zip contains the dataset of task1 - diff quality estimation; Comment_Generation.zip contains the dataset of task2 - comment generation; Code_Refinement.zip contains the dataset of task3 - code refinement. The pre-training data is too large and will be open-sourced soon once accepted.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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