Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"https://doi.org/10.60507/FK2/O54LWPLeiwig, MaximilianSwierzy, BenBungartz, ChristianMeier, Michaelbonndata2024-07-152025-01-14T11:07:50ZThis 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.studioComputer and Information ScienceNot applicableM. 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., doi, 10.1109/SEAA64295.2024.00020., https://doi.org/10.1109/SEAA64295.2024.000202024-07-15Leiwig, Maximilian2024-07-08quantitativeCC BY 4.0