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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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity.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.
Publisher : Springer Nature
Publication date : 8 January 2021
Edition : 2020th
Language : English
Print length : 118 pages
ISBN-10 : 3030380084
ISBN-13 : 978-3030380083
Item Weight : 204 g
Dimensions : 15.49 x 0.76 x 23.5 cm
Country of Origin : India
Importer : Bookswagon, 2/13 Ansari Road, Daryaganj, New Delhi 110002, sales@bookswagon.com, 01140159253
Packer : Bookswagon, 2/13 Ansari Road, Daryaganj, New Delhi 110002, sales@bookswagon.com, 01140159253
Part of series : Learning and Analytics in Intelligent Systems
Best Sellers Rank: #626,505 in Books (See Top 100 in Books) #1,113 in Databases & Big Data #1,346 in Software Design & Engineering #1,641 in Software Architecture
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