Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"doi:10.60507/FK2/O54LWPbonndata2024-07-152Leiwig, Maximilian; Swierzy, Ben; Bungartz, Christian; Meier, Michael, 2024, "Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"", https://doi.org/10.60507/FK2/O54LWP, bonndata, V2Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"doi:10.60507/FK2/O54LWPLeiwig, MaximilianSwierzy, BenBungartz, ChristianMeier, MichaelbonndataLeiwig, MaximilianLeiwig, Maximilian2024-07-08Computer and Information ScienceComputer and Information ScienceThis repository contains replication data for the paper "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair".<br> The dataset contains commits that indicate a bug fix from 200 repositories on Github. Scripts for fetching data associated with the commits are available (see Github repository linked under "Related Material"). <hr> File descriptions: <ul> <li><code>repositories.csv</code>: List of repository names with metadata</li> <li><code>commits.csv</code>: List of commit identifiers of the 200 repositories with most bug fixing commits</li> <li><code>commits_high_watch_count.csv</code>: List of commit identifiers of the 200 repositories with most bug fixing commits with a watch count of at least 50</li> </ul> <hr> Icon licensed under CC-BY by xinh.studioquantitativeThe corresponding paper was be published at SEAA Aug 28 - Aug 30 2024.Original Sources are Google BigQuery and GitHub<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a>Code: https://github.com/Synrom/FixMeM. Leiwig, B. Swierzy, C. Bungartz and M. Meier, "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair," 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Paris, France, 2024, pp. 72-79, doi: 10.1109/SEAA64295.2024.00020.10.1109/SEAA64295.2024.00020.M. Leiwig, B. Swierzy, C. Bungartz and M. Meier, "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair," 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Paris, France, 2024, pp. 72-79, doi: 10.1109/SEAA64295.2024.00020.commits.csvtext/csvcommits_high_watch_count.csvtext/csvREADME.mdtext/markdownrepositories.csvtext/csv