This file was generated on 2024-07-11 by Ben Swierzy.

A GENERAL INFORMATION


    Title of the dataset: Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"


    Brief description of the research project and its aims: Automatically fix bugs with the help of LLMs


    Author Information
     A. Investigator Contact Information
     Name: Maximilian Leiwig
     Institution: University of Bonn
     Email: s6maleiw uni-bonn.de
     B. Supervisor Contact Information
     Name: Ben Swierzy
     Institution: University of Bonn
     Address: Friedrich-Hirzebruch-Allee 8, 53115 Bonn, Germany
     Email: swierzy cs.uni-bonn.de
     C. In case of questions related to this dataset, please contact:
     Name: Maximilian Leiwig
     Institution: University of Bonn
     Email: s6maleiw uni-bonn.de


    Date of data collection: June 2023



B DATA & FILE OVERVIEW


    File List:



    `repositories.csv`: List of repository names with metadata

    `commits.csv`: List of commit identifiers of the 200 repositories with most bug fixing commits

    `commits_high_watch_count.csv`: List of commit identifiers of the 200 repositories with most bug fixing commits with a watch count of at least 50



    Are there multiple versions of the dataset? no


C SHARING/ACCESS INFORMATION


    Was data derived from another source? yes: Google BigQuery, GitHub Archive


    Licenses/restrictions placed on the data: CC-BY 4.0


    Links to publications that cite or use the data: https://doi.org/10.1109/SEAA64295.2024.00020



D METHODOLOGICAL INFORMATION


    Description of methods used for collection/generation of data: Filtering


    Methods for processing the data: Filtering, Structuring


    Instrument- and/or software-specific information needed to interpret the data: none


    People involved in sample collection, processing, analysis and/or submission: Maximilian Leiwig