Automated Software Engineering: A Deep Learning-Based Approach Automated Software Engineering: A Deep Learning-Based Approach
Learning and Analytics in Intelligent Systems

Automated Software Engineering: A Deep Learning-Based Approach

    • $119.99
    • $119.99

Publisher Description

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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity.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

GENRE
Computers & Internet
RELEASED
2020
January 7
LANGUAGE
EN
English
LENGTH
129
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
9.3
MB
Computer Communication, Networking and IoT Computer Communication, Networking and IoT
2022
Data Engineering and Intelligent Computing Data Engineering and Intelligent Computing
2022
Intelligent Systems and Sustainable Computing Intelligent Systems and Sustainable Computing
2022
Smart Intelligent Computing and Applications, Volume 2 Smart Intelligent Computing and Applications, Volume 2
2022
Evolution in Computational Intelligence Evolution in Computational Intelligence
2022
Smart Intelligent Computing and Applications, Volume 1 Smart Intelligent Computing and Applications, Volume 1
2022
Intelligent Computing Paradigm and Cutting-edge Technologies Intelligent Computing Paradigm and Cutting-edge Technologies
2020
Biologically Inspired Techniques in Many-Criteria Decision Making Biologically Inspired Techniques in Many-Criteria Decision Making
2020
Computational Bioengineering and Bioinformatics Computational Bioengineering and Bioinformatics
2020
Intelligent Techniques and Applications in Science and Technology Intelligent Techniques and Applications in Science and Technology
2020
Machine Learning with Health Care Perspective Machine Learning with Health Care Perspective
2020
Advances in Core Computer Science-Based Technologies Advances in Core Computer Science-Based Technologies
2020