Description
Book Synopsis1. Handbook on Natural Language Processing for Requirements Engineering: Overview.- Part I: NLP for Downstream RE Tasks.- 2. Machine Learning for Requirements Classification.- 3. Requirements Similarity and Retrieval.- 4. Natural Language Processing for Requirements Traceability.- 5. Detecting Defects in Natural Language Requirements Specifications.- 6. Automated Requirements Terminology Extraction.- 7. Automated Requirements Relations Extraction.- Part II: NLP for Specialised Types of Requirements and Artefacts.- 8. Legal Requirements Analysis: A Regulatory Compliance Perspective.- 9. Privacy Requirements Acquisition and Analysis.- 10. On the Automated Processing of User Feedback.- 11. Mining Issue Trackers: Concepts and Techniques.- 12. Automated Analysis of User Story Requirements.- Part III: NLP for RE in Practice.- 13. NLP4RE Tools: Classification, Overview, and Management.- 14. Empirical Evaluation of Tools for Hairy Natural Language Requirements Engineering Tasks.- 15. Practical Guidelines for the Selection and Evaluation of Natural Language Processing Techniques in Requirements Engineering.- 16. Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline.- 17. Dealing with Data for RE: Mitigating Challenges while Using NLP and Generative AI.
