£162.87

Springer - NLP for Requirements Engineering Handbook

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Description

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.

Key Features

Covers fundamental NLP concepts and techniques to build a strong foundation in requirements engineering.

Provides practical guidance on implementing NLP solutions for real-world engineering scenarios.

Includes expert contributions from researchers with both academic and industrial backgrounds.

Organized into a three-part structure for easy navigation of complex topics.

Focuses on applying NLP techniques to downstream RE tasks to improve process efficiency.

Offers a comprehensive look at the intersection of AI, machine learning, and software requirements.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 March 2025
Listed Since
17 August 2024

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