Automated Software Engineering: A Deep Learning-Based Approach

丛 书 名：Learning and Analytics in Intelligent Systems

版本说明：1st ed. 2020

作     者：Suresh Chandra Satapathy Ajay Kumar Jena Jagannath Singh Saurabh Bilgaiyan 

I S B N：(纸本) 9783030380052 

出 版 社：Springer International Publishing 

出 版 年：2020年

学科分类：08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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 But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software s complexity.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