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Found 4 papers, 2 papers with code
Model Generation from Requirements with LLMs: an Exploratory Study
Complementing natural language (NL) requirements with graphical models can improve stakeholders' communication and provide directions for system design.
Zero-Shot Learning for Requirements Classification: An Exploratory Study
Objective: This paper addresses this problem by showing how a zero-shot learning approach can be used for requirements classification without using any labelled training data.
Classification of Natural Language Processing Techniques for Requirements Engineering
Research in applying natural language processing (NLP) techniques to requirements engineering (RE) tasks spans more than 40 years, from initial efforts carried out in the 1980s to more recent attempts with machine learning (ML) and deep learning (DL) techniques.
Using Voice and Biofeedback to Predict User Engagement during Requirements Interviews
Capturing users' engagement is crucial for gathering feedback about the features of a software product.
