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

Satapathy, Suresh Chandra; Jena, Ajay Kumar; Singh, Jagannath; Bilgaiyan, Saurabh

ISBN 10: 3030380084 ISBN 13: 9783030380083

Edit� par Springer, 2021

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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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity.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.

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Titre : Automated Software Engineering: A Deep ...
�diteur : Springer
Date d'�dition : 2021
Reliure : Couverture souple
Etat : New

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Automated Software Engineering: A Deep Learning-Based Approach (Learning and Analytics in Intelligent Systems, Band 8) [Paperback] Satapathy, Suresh Chandra; Jena, Ajay Kumar; Singh, Jagannath and Bilgaiyan, Saurabh

Satapathy, Suresh Chandra

Edit� par Springer, 2021

ISBN 10 : 3030380084 ISBN 13 : 9783030380083

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy|Ajay Kumar Jena|Jagannath Singh|Saurabh Bilgaiyan

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030380084 ISBN 13 : 9783030380083

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Kartoniert / Broschiert. Etat : 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. N� de r�f. du vendeur 448680826

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy (u. a.)

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ISBN 10 : 3030380084 ISBN 13 : 9783030380083

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

Satapathy, Suresh Chandra; Jena, Ajay Kumar; Singh, Jagannath; Bilgaiyan, Saurabh

Edit� par Springer, 2021

ISBN 10 : 3030380084 ISBN 13 : 9783030380083

Neuf Couverture souple

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Edit� par Springer International Publishing Jan 2021, 2021

ISBN 10 : 3030380084 ISBN 13 : 9783030380083

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783030380083

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030380084 ISBN 13 : 9783030380083

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783030380083

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Edit� par Springer International Publishing, Springer International Publishing Jan 2021, 2021

ISBN 10 : 3030380084 ISBN 13 : 9783030380083

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch. N� de r�f. du vendeur 9783030380083

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