Springer - NLP for Requirements Engineering Handbook

Improve your software engineering processes with the Handbook on Natural Language Processing for Requirements Engineering from Springer. This comprehensive guide explains how to use natural language processing (NLP) to enhance various aspects of requirements engineering (RE). This book moves from fundamental concepts and techniques to the practical implementation of NLP for RE solutions in real-world scenarios. It is an essential resource for those looking to bridge the gap between academic theory and industrial application. The content features contributions from researchers with both academic and industrial experience, ensuring a balanced perspective. The handbook is organized into three parts. Part I focuses on NLP for Downstream RE Tasks, examining how specific NLP techniques can be applied to various requirements engineering functions. This structured approach helps readers build a solid foundation before moving into more advanced implementations, making it a valuable asset for students, researchers, and industry professionals in the field of AI and machine learning.