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Automated Software Engineering: A Deep Learning-Based Approach (Learning and Analytics in Intelligent Systems, 8) - Hardcover

 
9783030380052: Automated Software Engineering: A Deep Learning-Based Approach (Learning and Analytics in Intelligent Systems, 8)
  • PublisherSpringer
  • Publication date2020
  • ISBN 10 303038005X
  • ISBN 13 9783030380052
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages129

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9783030380083: Automated Software Engineering: A Deep Learning-Based Approach (Learning and Analytics in Intelligent Systems)

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Satapathy, Suresh Chandra; et al.
Published by Cham, Springer., 2020
ISBN 10: 303038005X ISBN 13: 9783030380052
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XI, 118 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Learning and Analytics in Intelligent Systems, 8. Sprache: Englisch. Seller Inventory # 9704GB

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Satapathy, Suresh Chandra; Jena, Ajay Kumar; Singh, Jagannath; Bilgaiyan, Saurabh
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software's complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering. 132 pp. Englisch. Seller Inventory # 9783030380052

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Suresh Chandra Satapathy|Ajay Kumar Jena|Jagannath Singh|Saurabh Bilgaiyan
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers potential deep learning concepts for handling open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation Presents a dee. Seller Inventory # 448680825

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software's complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering. Seller Inventory # 9783030380052

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