Generating Requirements Elicitation Interview Scripts with Large Language Models

Author:

Görer Binnur1,Aydemir Fatma Başak1

Affiliation:

1. Boğaziçi University,Department of Computer Engineering,Istanbul,Türkiye

Funder

Scientific and Technological Research Council of Türkiye through BIDEB 2232

Publisher

IEEE

Reference21 articles.

1. Language models are few-shot learners;brown;Advances in neural information processing systems,2020

2. Quiz Maker: Automatic Quiz Generation from Text Using NLP

3. Chain of thought prompting elicits reasoning in large language models;wei;ArXiv Preprint,2022

4. Large language models are zero-shot reasoners;kojima;ArXiv Preprint,2022

5. Bertscore: Evaluating text generation with bert;zhang;ArXiv Preprint,2019

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1. Software engineering education in the era of conversational AI: current trends and future directions;Frontiers in Artificial Intelligence;2024-08-29

2. GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Training;2024 IEEE 32nd International Requirements Engineering Conference (RE);2024-06-24

3. Enhancing Legal Compliance and Regulation Analysis with Large Language Models;2024 IEEE 32nd International Requirements Engineering Conference (RE);2024-06-24

4. Toward Regulatory Compliance: A few-shot Learning Approach to Extract Processing Activities;2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW);2024-06-24

5. Exploring the REIT architecture for requirements elicitation interview training with robotic and virtual tutors;Journal of Systems and Software;2024-06

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