Resources related by the research work "Automating Code Review Activities 2.0". automating_code_review.zip contains the material to successfully run our Colab notebooks; dataset.zip contains all the preprocessed datasets used in our work; generate_prediction.zip contains the material to successfully generate predictions using a T5 model chekpoint; models.zip contains the (best) checkpoints of the fine-tuned T5 models; results.zip contains our results; tokenizer.zip contains the Sentencepiece model and vocabulary trained on our pre-training dataset. More information in the replication package of our work: code_review_autmoatio
Resources relating to the research work "A Multi-Step Learning Approach to Assist Code Review"
This data package presents the data collection and analysis for our modern code review mapping study...
Dataset of "Primers or Reminders? The Effects of Existing Review Comments on Code Review". See READ...
Resources related by the research work "Automating Code Review Activities by Large-Scale Pre-Trainin...
What happens in my code reviews? - Replication package This folder contains the replication package...
Dataset for Code Review Visualization: An Exploratory Study of Collaboration, Expertise, and Workloa
Replication Package for "Automating Code Review: Using Deep Learning to Assess the Quality of Code C...
A snapshot of data from the publication: Competition-Level Code Generation with AlphaCode. This snap...
Code review is an essential part to software development lifecycle since it aims at guaranteeing the...
Code review is the process of manual inspection on the revision of the source code in order to find ...
This package contains the dataset and the replication source code used in the experiments in the pap...
This dataset is used in the experiments in the paper "A First Look at Fairness of Automatic Code Rev...
This is the replication package for the paper: "Code Reviewer Recommendation for Architecture Violat...
Resources related to the research work "LLaMA-Reviewer: Advancing Code Review Automation with Large ...
We provide the datasets for reproducing the experiments in "Code Execution with Pre-trained Language...
Resources relating to the research work "A Multi-Step Learning Approach to Assist Code Review"
This data package presents the data collection and analysis for our modern code review mapping study...
Dataset of "Primers or Reminders? The Effects of Existing Review Comments on Code Review". See READ...
Resources related by the research work "Automating Code Review Activities by Large-Scale Pre-Trainin...
What happens in my code reviews? - Replication package This folder contains the replication package...
Dataset for Code Review Visualization: An Exploratory Study of Collaboration, Expertise, and Workloa
Replication Package for "Automating Code Review: Using Deep Learning to Assess the Quality of Code C...
A snapshot of data from the publication: Competition-Level Code Generation with AlphaCode. This snap...
Code review is an essential part to software development lifecycle since it aims at guaranteeing the...
Code review is the process of manual inspection on the revision of the source code in order to find ...
This package contains the dataset and the replication source code used in the experiments in the pap...
This dataset is used in the experiments in the paper "A First Look at Fairness of Automatic Code Rev...
This is the replication package for the paper: "Code Reviewer Recommendation for Architecture Violat...
Resources related to the research work "LLaMA-Reviewer: Advancing Code Review Automation with Large ...
We provide the datasets for reproducing the experiments in "Code Execution with Pre-trained Language...
Resources relating to the research work "A Multi-Step Learning Approach to Assist Code Review"
This data package presents the data collection and analysis for our modern code review mapping study...
Dataset of "Primers or Reminders? The Effects of Existing Review Comments on Code Review". See READ...