Automated Software Engineering: A Deep Learning-Based Approach

Lieferzeit: Lieferbar innerhalb 14 Tagen

149,79 

Learning and Analytics in Intelligent Systems 8

ISBN: 3030380084
ISBN 13: 9783030380083
Verlag: Springer Verlag GmbH
Umfang: xi, 118 S.
Erscheinungsdatum: 08.01.2021
Weitere Autoren: Satapathy, Suresh Chandra/Jena, Ajay Kumar/Singh, Jagannath et al
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity.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

Artikelnummer: 423415 Kategorie:

Beschreibung

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …