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Synopsis
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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity.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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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
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Springer, 2021
ISBN 10 : 3030380084
ISBN 13 : 9783030380083
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Vendeur : SpringBooks, Berlin, Allemagne
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Softcover. Etat : Very Good. 1. Auflage. unread, with a mimimum of shelfwear. N° de réf. du vendeur CE-2304C-SAKKO-39-0500k
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Automated Software Engineering: A Deep Learning-Based Approach
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Springer International Publishing, 2021
ISBN 10 : 3030380084
ISBN 13 : 9783030380083
Neuf
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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 réf. du vendeur 448680826
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Automated Software Engineering: A Deep Learning-Based Approach (Learning and Analytics in Intelligent Systems)
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Automated Software Engineering : A Deep Learning-Based Approach
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Automated Software Engineering : A Deep Learning-Based Approach
Edité par
Springer, 2021
ISBN 10 : 3030380084
ISBN 13 : 9783030380083
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Automated Software Engineering: A Deep Learning-Based Approach
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030380084
ISBN 13 : 9783030380083
Neuf
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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 réf. du vendeur 9783030380083
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Automated Software Engineering: A Deep Learning-Based Approach
Edité par
Springer International Publishing Jan 2021, 2021
ISBN 10 : 3030380084
ISBN 13 : 9783030380083
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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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 réf. du vendeur 9783030380083
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Automated Software Engineering : A Deep Learning-Based Approach
Edité par
Springer, 2021
ISBN 10 : 3030380084
ISBN 13 : 9783030380083
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 42502788
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Automated Software Engineering : A Deep Learning-Based Approach
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : New. N° de réf. du vendeur 42502788-n
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Automated Software Engineering: A Deep Learning-Based Approach
ISBN 10 : 3030380084
ISBN 13 : 9783030380083
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
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 réf. du vendeur 9783030380083
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