NLP4RE Tools: Classification, Overview, and Management
Abstract: 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 to improve the understanding of their types and properties. Then, we extend an existing overview with a systematic summary of 126 NLP4RE tools published between April 2019 and June 2023 to ease reuse and evolution of existing tools. Finally, we provide instructions on how to create, maintain, and disseminate NLP4RE tools to support a more rigorous management and dissemination.
- Berry, D.M.: Evaluation of tools for hairy requirements and software engineering tasks. In: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW). pp. 284–291. IEEE (2017). https://doi.org/10.1109/REW.2017.25
- Eisenstein, J.: Introduction to natural language processing. MIT press (2019)
- Unterkalmsteiner, M.: TT-RecS: The taxonomic trace recommender system. In: 2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE). pp. 18–21. IEEE (2020). https://doi.org/10.1109/AIRE51212.2020.00009
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