January 5, 2020 Conference paper Closed Access

Yiqun Chen; Stefan Winter; Neeraj Suri

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  <identifier identifierType="DOI">10.5281/zenodo.3598078</identifier>
  <creators>
    <creator>
      <creatorName>Yiqun Chen</creatorName>
      <affiliation>DEEDS Group, Dept. of Computer Science Technische Universit¨at Darmstadt</affiliation>
    </creator>
    <creator>
      <creatorName>Stefan Winter</creatorName>
      <affiliation>DEEDS Group, Dept. of Computer Science Technische Universit¨at Darmstadt</affiliation>
    </creator>
    <creator>
      <creatorName>Neeraj Suri</creatorName>
      <affiliation>DEEDS Group, Dept. of Computer Science Technische Universit¨at Darmstadt</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Inferring Performance Bug Patterns from Developer Commits</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-01-05</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3598078</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3598077</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/closedAccess">Closed Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Performance bugs, i.e., program source code that&amp;nbsp;is unnecessarily inefficient, have received significant attention&amp;nbsp;by the research community in recent years. A number of&amp;nbsp;empirical studies have investigated how these bugs differ from&amp;nbsp;&amp;ldquo;ordinary&amp;rdquo; bugs that cause functional deviations and several&amp;nbsp;approaches to aid their detection, localization, and removal have&amp;nbsp;been proposed. Many of these approaches focus on certain subclasses&amp;nbsp;of performance bugs, e.g., those resulting from redundant&amp;nbsp;computations or unnecessary synchronization, and the evaluation&amp;nbsp;of their effectiveness is usually limited to a small number of&amp;nbsp;known instances of these bugs. To provide researchers working&amp;nbsp;on performance bug detection and localization techniques with&amp;nbsp;a larger corpus of performance bugs to evaluate against, we&amp;nbsp;conduct a study of more than 700 performance bug fixing&amp;nbsp;commits across 13 popular open source projects written in C&amp;nbsp;and C++ and investigate the relative frequency of bug types as&amp;nbsp;well as their complexity. Our results show that many of these&amp;nbsp;fixes follow a small set of bug patterns, that they are contributed&amp;nbsp;by experienced developers, and that the number of lines needed&amp;nbsp;to fix performance bugs is highly project dependent.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/830927/">830927</awardNumber>
      <awardTitle>Cyber security cOmpeteNCe fOr Research anD InnovAtion</awardTitle>
    </fundingReference>
  </fundingReferences>
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