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  <identifier identifierType="DOI">10.60507/FK2/O54LWP</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Leiwig, Maximilian</creatorName>
      <givenName>Maximilian</givenName>
      <familyName>Leiwig</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0009-0006-5703-5708</nameIdentifier>
      <affiliation>University of Bonn, Lamarr Institute</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Swierzy, Ben</creatorName>
      <givenName>Ben</givenName>
      <familyName>Swierzy</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0009-0003-0485-4791</nameIdentifier>
      <affiliation>University of Bonn</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Bungartz, Christian</creatorName>
      <givenName>Christian</givenName>
      <familyName>Bungartz</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0009-0008-0576-8744</nameIdentifier>
      <affiliation>University of Bonn, Lamarr Institute</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Meier, Michael</creatorName>
      <givenName>Michael</givenName>
      <familyName>Meier</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0009-0006-8199-5004</nameIdentifier>
      <affiliation>University of Bonn, Fraunhofer FKIE, Lamarr Institute</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"</title>
  </titles>
  <publisher>bonndata</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>Computer and Information Science</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Leiwig, Maximilian</contributorName>
      <givenName>Maximilian</givenName>
      <familyName>Leiwig</familyName>
      <affiliation>University of Bonn</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Submitted">2024-07-08</date>
    <date dateType="Available">2024-07-15</date>
    <date dateType="Updated">2025-01-14</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset">quantitative</resourceType>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsSupplementTo" relatedIdentifierType="DOI">10.1109/SEAA64295.2024.00020.</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.60507/FK2/O54LWP/SQT1JC</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.60507/FK2/O54LWP/WKVPJO</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.60507/FK2/O54LWP/ASXZU5</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.60507/FK2/O54LWP/90YM7M</relatedIdentifier>
  </relatedIdentifiers>
  <sizes>
    <size>3144907</size>
    <size>6963520</size>
    <size>1567538</size>
    <size>1904</size>
    <size>1945</size>
  </sizes>
  <formats>
    <format>text/csv</format>
    <format>text/csv</format>
    <format>text/csv</format>
    <format>text/markdown</format>
    <format>text/markdown</format>
  </formats>
  <version>2.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0" xml:lang="en">Creative Commons Attribution 4.0 International License.</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">This repository contains replication data for the paper &amp;quot;Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair&amp;quot;.&amp;lt;br&amp;gt;
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 &amp;quot;Related Material&amp;quot;).
&amp;lt;hr&amp;gt;

File descriptions:
&amp;lt;ul&amp;gt;
&amp;lt;li&amp;gt;&amp;lt;code&amp;gt;repositories.csv&amp;lt;/code&amp;gt;: List of repository names with metadata&amp;lt;/li&amp;gt;
&amp;lt;li&amp;gt;&amp;lt;code&amp;gt;commits.csv&amp;lt;/code&amp;gt;: List of commit identifiers of the 200 repositories with most bug fixing commits&amp;lt;/li&amp;gt;
&amp;lt;li&amp;gt;&amp;lt;code&amp;gt;commits_high_watch_count.csv&amp;lt;/code&amp;gt;: List of commit identifiers of the 200 repositories with most bug fixing commits with a watch count of at least 50&amp;lt;/li&amp;gt;
&amp;lt;/ul&amp;gt;

&amp;lt;hr&amp;gt;
Icon licensed under CC-BY by xinh.studio</description>
    <description descriptionType="Methods">Original Sources are Google BigQuery and GitHub</description>
    <description descriptionType="Other">The corresponding paper was be published at SEAA Aug 28 - Aug 30 2024.</description>
  </descriptions>
</resource>
