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  <titleInfo>
    <title>An efficient ensemble learning approach for software defects prediction</title>
  </titleInfo>
  <name type="personal">
    <namePart>Mahnoor Habib (191405002)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Faisalabad</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2021</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xiv, 70 p : ill. ; 30 cm.</extent>
  </physicalDescription>
  <note>Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science to the Faculty of Computing.</note>
  <note>Includes bibliographical references.</note>
  <note>Thesis supervisor:Dr.Umer Iqbal</note>
  <note>Thesis (MS)--Riphah International University,2021</note>
  <note>English</note>
  <subject>
    <topic>Software defects Machine learning</topic>
    <topic>Black box</topic>
    <topic>National Aeronautics</topic>
    <topic>Common techniques</topic>
    <topic>Decision table</topic>
    <topic>Decision tree</topic>
    <topic>FC</topic>
  </subject>
  <classification authority="ddc">004 MAH</classification>
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    <recordContentSource authority="marcorg"/>
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