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

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

ISBN 10: 303038005X ISBN 13: 9783030380052

Verlag: Springer, 2020

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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity.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

�ber die Autorin bzw. den Autor: Charlotte y Peter Fiell son dos autoridades en historia, teor�a y cr�tica del dise�o y han escrito m�s de sesenta libros sobre la materia, muchos de los cuales se han convertido en �xitos de ventas. Tambi�n han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Dise�o del siglo XX, El dise�o industrial de la A a la Z, Scandinavian Design y Dise�o del siglo XXI.

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Titel: Automated Software Engineering: A Deep ...
Verlag: Springer
Erscheinungsdatum: 2020
Einband: Hardcover
Zustand: New

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Automated Software Engineering: A Deep Learning-Based Approach.

Satapathy, Suresh Chandra; et al.

Verlag: 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 besto�en, daher M�ngelexemplar 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. Bestandsnummer des Verk�ufers 9704GB

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Automated Software Engineering: A Deep Learning-Based Approach

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

Verlag: Springer International Publishing, 2020

ISBN 10: 303038005X ISBN 13: 9783030380052

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Gebunden. Zustand: 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. Bestandsnummer des Verk�ufers 448680825

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

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

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ISBN 10: 303038005X ISBN 13: 9783030380052

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Automated Software Engineering : A Deep Learning Based Approach

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

Verlag: Springer, 2020

ISBN 10: 303038005X ISBN 13: 9783030380052

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Verlag: Springer International Publishing, 2020

ISBN 10: 303038005X ISBN 13: 9783030380052

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Buch. Zustand: 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. Bestandsnummer des Verk�ufers 9783030380052

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

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ISBN 10: 303038005X ISBN 13: 9783030380052

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Buch. Zustand: 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. Bestandsnummer des Verk�ufers 9783030380052

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Verlag: Springer International Publishing, Springer International Publishing Jan 2020, 2020

ISBN 10: 303038005X ISBN 13: 9783030380052

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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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. Bestandsnummer des Verk�ufers 9783030380052

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