Description: Automated Software Engineering : A Deep Learning Based Approach, Hardcover by Satapathy, Suresh Chandra; Jena, Ajay Kumar; Singh, Jagannath; Bilgaiyan, Saurabh, ISBN 303038005X, ISBN-13 9783030380052, Brand New, Free shipping in the US 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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity.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. Th 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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Book Title: Automated Software Engineering : A Deep Learning Based Approach
Number of Pages: Xi, 118 Pages
Language: English
Publication Name: Automated Software Engineering: a Deep Learning Based Approach
Publisher: Springer International Publishing A&G
Publication Year: 2020
Subject: Engineering (General), Intelligence (Ai) & Semantics, Data Processing
Item Weight: 16 Oz
Type: Textbook
Item Length: 9.3 in
Author: Jagannath Singh, Saurabh Bilgaiyan, Suresh Chandra Satapathy, Ajay Kumar Jena
Subject Area: Computers, Technology & Engineering
Item Width: 6.1 in
Series: Learning and Analytics in Intelligent Systems Ser.
Format: Hardcover
