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  <titleInfo>
    <nonSort>The </nonSort>
    <title>art and science of analyzing software data</title>
  </titleInfo>
  <name type="personal">
    <namePart>Bird, John</namePart>
  </name>
  <name type="personal">
    <namePart>Menzies, Tim</namePart>
  </name>
  <name type="personal">
    <namePart>Zimmermann, Thomas</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">mau</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Amsterdam</placeTerm>
    </place>
    <publisher>Elsevier</publisher>
    <dateIssued>2020</dateIssued>
    <dateIssued encoding="marc">2015</dateIssued>
    <copyrightDate encoding="marc">2015</copyrightDate>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxiii, 660 p. : illustrations ; include index</extent>
  </physicalDescription>
  <abstract>A comprehensive guide to the art and science of analyzing software data, with best practices generated by leading data scientists, collected from their experience training software engineering students and practitioners on how to master data science.</abstract>
  <note type="statement of responsibility">edited by Christian Bird, Tim Menzies, Thomas Zimmermann.</note>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer software</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electronic data processing</topic>
  </subject>
  <subject authority="">
    <topic>Softwareentwicklung</topic>
  </subject>
  <subject authority="">
    <topic>Data Mining</topic>
  </subject>
  <subject authority="">
    <topic>Datenanalyse</topic>
  </subject>
  <classification authority="lcc">QA76.6 .A765 2015</classification>
  <identifier type="isbn">9780124115194</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">150409</recordCreationDate>
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