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

Edit� par Springer, 2020

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Chapter 1: Selection of Significant Metrics for Improving the Performance of Change-Proneness Modules.- Chapter 2: Effort Estimation of Web based Applications using ERD, use Case Point Method and Machine Learning.- Chapter 3: Usage of Machine Learning in Software Testing.- Chapter 4: Test Scenarios Generation using Combined Object-Oriented Models.- Chapter 5: A Novel Approach of Software Fault Prediction using Deep Learning Technique.- Chapter 6: Feature-Based Semi-Supervised Learning to Detect Malware from Android.

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Titre : Automated Software Engineering: A Deep ...
�diteur : Springer
Date d'�dition : 2020
Reliure : Couverture rigide
Etat : New

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Automated Software Engineering: A Deep Learning-Based Approach.

Satapathy, Suresh Chandra; et al.

Edit� par 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. N� de r�f. du vendeur 9704GB

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Automated Software Engineering: A Deep Learning-Based Approach

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

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Gebunden. 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 448680825

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Automated Software Engineering: A Deep Learning-Based Approach

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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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Automated Software Engineering : A Deep Learning Based Approach

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

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Edit� par Springer International Publishing, 2020

ISBN 10 : 303038005X ISBN 13 : 9783030380052

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Buch. 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 9783030380052

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Edit� par Springer International Publishing Jan 2020, 2020

ISBN 10 : 303038005X ISBN 13 : 9783030380052

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Buch. 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 9783030380052

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Automated Software Engineering: A Deep Learning-Based Approach

Suresh Chandra Satapathy

Edit� par Springer International Publishing, Springer International Publishing Jan 2020, 2020

ISBN 10 : 303038005X ISBN 13 : 9783030380052

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Buch. Etat : 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. N� de r�f. du vendeur 9783030380052

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