Machine Learning For Dynamic Software Analysis Potentials And Limits Internation - Springer Nature B.V - Paperback - en Book

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Machine Learning For Dynamic Software Analysis Potentials And Limits Internation - Springer Nature B.V - Paperback - en Book

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Machine Learning For Dynamic Software Analysis Potentials And Limits Internation - Springer Nature B.V - Paperback - en Book

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Machine Learning For Dynamic Software Analysis Potentials And Limits Internation - Springer Nature B.V - Paperback - en Book

Machine Learning Of Software Artefacts Is An Emerging Area Of Interaction Between The Machine Learning And Software Analysis Communities. Increased Productivity In Software Engineering Relies On The Creation Of New Adaptive, Scalable Tools That Can Analyse Large And Continuously Changing Software Systems. These Require New Software Analysis Techniques Based On Machine Learning, Such As Learning-based Software Testing, Invariant Generation Or Code Synthesis.
  • 品牌: Unbranded
  • 类别: 计算机与互联网
  • 语言: en
  • 作者: Springer Nature B.V
  • 长度: 268
  • 出版社／标签: Springer Nature B.V
  • 格式: Paperback
  • Fruugo ID: 491713955-1015291087
  • ISBN: 9783319965611

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