Leveraging Natural Language Processing for a Consistency Checking Toolchain of Automotive Requirements-Reference-Cited by-同舟云学术

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Leveraging Natural Language Processing for a Consistency Checking Toolchain of Automotive Requirements

Published:2023-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 31st International Requirements Engineering Conference (RE)
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Author:

Bertram Vincent¹,Kausch Hendrik¹,Kusmenko Evgeny¹,Nqiri Haron¹,Rumpe Bernhard¹,Venhoff Constantin¹

Affiliation:

1. RWTH Aachen University,Software Engineering,Aachen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260705/10260715/10260788.pdf?arnumber=10260788

Reference34 articles.

1. Fine-tuning pretrained language models: Weight initializations, data orders, and early stopping;dodge;ArXiv Preprint,2020

2. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;ArXiv Preprint,2018

3. Attention is all you need;vaswani;Advances in neural information processing systems,2017

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1. Benchmarking requirement template systems: comparing appropriateness, usability, and expressiveness;Requirements Engineering;2024-08-18

2. Improving Recommender Systems with Large Language Models;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

3. Leveraging LLMs for the Quality Assurance of Software Requirements;2024 IEEE 32nd International Requirements Engineering Conference (RE);2024-06-24

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