Code and data necessary for reproducing the results from 'Assessing the Quality of Source Code Identifiers Using Self-Supervised Transformer Models'. In particular, we provide the code for training and evaluating the models, links to pre-trained models, the dataset used for evaluation, and the predicted scores generated by our different approaches
This repository includes: (1) Supplementary-appendix (2) dataset (3) source codes (4) final mode...
This work proposes a methodology for source code quality and static behaviour evaluation of a softwa...
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicator
This dataset is published as part of the master thesis: "An Empirical Assessment on the Limits of Bi...
The replication package of the paper "An Empirical Comparison of Pre-Trained Models of Source Code"....
This replication package contains the data which allows to reproduce and extend the results presente...
This package contains the dataset and the replication source code used in the experiments in the pap...
Replication Package for "Automating Code Review: Using Deep Learning to Assess the Quality of Code C...
Source code and data for "Toward accurate interpretable predictions of materials properties within t...
Datasets used in the work "Automating Code-Related Tasks Through Transformers: The Impact of Pre-tra...
In the software development process, more than one developer may work on developing the same program...
The replication package of the paper "A Study on the Accuracy of OCR Engines for Source Code Transcr...
Replication Package for "A Structured Literature Study of Source Code Representation for Deep Learn...
This final-year project will cover data cleaning and refinement to improve the quality of data for v...
The dataset contains quality, source code metrics information of 60 versions under 10 different repo...
This repository includes: (1) Supplementary-appendix (2) dataset (3) source codes (4) final mode...
This work proposes a methodology for source code quality and static behaviour evaluation of a softwa...
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicator
This dataset is published as part of the master thesis: "An Empirical Assessment on the Limits of Bi...
The replication package of the paper "An Empirical Comparison of Pre-Trained Models of Source Code"....
This replication package contains the data which allows to reproduce and extend the results presente...
This package contains the dataset and the replication source code used in the experiments in the pap...
Replication Package for "Automating Code Review: Using Deep Learning to Assess the Quality of Code C...
Source code and data for "Toward accurate interpretable predictions of materials properties within t...
Datasets used in the work "Automating Code-Related Tasks Through Transformers: The Impact of Pre-tra...
In the software development process, more than one developer may work on developing the same program...
The replication package of the paper "A Study on the Accuracy of OCR Engines for Source Code Transcr...
Replication Package for "A Structured Literature Study of Source Code Representation for Deep Learn...
This final-year project will cover data cleaning and refinement to improve the quality of data for v...
The dataset contains quality, source code metrics information of 60 versions under 10 different repo...
This repository includes: (1) Supplementary-appendix (2) dataset (3) source codes (4) final mode...
This work proposes a methodology for source code quality and static behaviour evaluation of a softwa...
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicator