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          <dc:title>An Overview of Automatic Software Repair Techniques via Machine Learning</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>董, 沢銘</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>趙, 建軍</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>馬, 雷</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">ソフトウェア科学・工学</jpcoar:subject>
          <datacite:description descriptionType="Other">Automatic software repair techniques can help software developers to detect and fix bugs, which can greatly reduce the cost of debugging. Recent breakthroughs in the research of machine learning can greatly benefit to software repair activities. In this talk, we give an overview of automatic software repair techniques via machine learning, and point out some future directions.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2019-02-28</datacite:date>
          <dc:language>eng</dc:language>
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          <jpcoar:sourceIdentifier identifierType="NCID">AN00349328</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>第81回全国大会講演論文集</jpcoar:sourceTitle>
          <jpcoar:volume>2019</jpcoar:volume>
          <jpcoar:issue>1</jpcoar:issue>
          <jpcoar:pageStart>153</jpcoar:pageStart>
          <jpcoar:pageEnd>154</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2019-05-27</datacite:date>
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