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  <titleInfo>
    <title>Mining software specifications</title>
    <subTitle>methodologies and applications</subTitle>
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  <name type="personal">
    <namePart>Lo, David.</namePart>
  </name>
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    <place>
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    <publisher>CRC Press</publisher>
    <dateIssued>2011</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xvi, 442 p. : ill.</extent>
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  <tableOfContents>1. Specification mining : a concise introduction / David Lo ... [et al.] -- 2. Mining finite-state automata with annotations / Leonardo Mariani ... [et al.] -- 3. Adapting grammar inference techniques to mine state machines / Neil Walkinshaw and Kirill Bogdanov -- 4. Mining API usage protocols from large methods traces / Michael Pradel and Thomas R. Gross -- 5. Static API specification mining : exploiting source code model checking / Mithun Acharya and Tao Xie -- 6. Static specification mining using automata-based abstractions / Eran Yahav ... [et al.] -- 7. DynaMine : finding usage patterns and their violations by mining software repositories / Benjamin Livshits and Thomas Zimmermann -- 8. Automatic inference and effective application of temporal specifications / Jinlin Yang and David Evans -- 9. Path-aware static program analyses for specification mining / Muralikrishna Ramanathan, Ananth Grama, and Suresh Jagannathan -- 10. Mining API usage specifications via searching source code from the Web / Suresh Thummalapenta, Tao Xie, and Madhuri R. Marri -- 11. Merlin : specification inference for explicit information flow problems / Benjamin Livshits ... [et al.] -- 12. Lightweight mining of object usage / Andrzej Wasylkowski and Andreas Zeller.</tableOfContents>
  <note type="statement of responsibility">[edited by] David Lo ... [et al.].</note>
  <note>Includes bibliographical references and index.</note>
  <note>Also available in print edition.</note>
  <note>Mode of access: World Wide Web.</note>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
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      <title>Chapman &amp; Hall/CRC data mining and knowledge discovery series</title>
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