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NLP4RE Tools: Classification, Overview and Management
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-3995-6125
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-4118-0952
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-0679-4361
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0619-6027
2025 (English)In: Handbook on Natural Language Processing for Requirements Engineering / [ed] Alessio Ferrari, Gouri Ginde, Springer Nature, 2025, p. 357-380Chapter in book (Other academic)
Abstract [en]

Tools constitute an essential contribution to natural language processing for requirements engineering (NLP4RE) research. They are executable instruments that make research usable and applicable in practice. In this chapter, we first introduce a systematic classification of NLP4RE tools. Then, we extend an existing overview with a systematic summary of 126 NLP4RE tools published between April 2019 and June 2023. Finally, we provide instructions on how to create, maintain and disseminate NLP4RE tools. The content of this chapter contributes (1) a classification scheme to improve the understanding of their types and properties, (2) a systematic overview to ease the reuse and evolution of existing tools and (3) guidelines to support a more rigorous management and dissemination. 

Place, publisher, year, edition, pages
Springer Nature, 2025. p. 357-380
Keywords [en]
Natural language processing, Open science, Requirements engineering, Tool, Engineering research, Industrial research, Classification scheme, Executables, Language processing, Natural languages, Property, Requirement engineering, Reuse
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-27881DOI: 10.1007/978-3-031-73143-3_13Scopus ID: 2-s2.0-105004614312ISBN: 9783031731433 (electronic)ISBN: 9783031731426 (print)OAI: oai:DiVA.org:bth-27881DiVA, id: diva2:1960539
Available from: 2025-05-23 Created: 2025-05-23 Last updated: 2025-09-30Bibliographically approved

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Frattini, JulianUnterkalmsteiner, MichaelFucci, DavideMendez, Daniel

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