From Specifications to Prompts: On the Future of Generative LLMs in Requirements Engineering

J. Winkler and A. Vogelsang, “Automatic classification of requirements based on convolutional neural networks,” in 2016 IEEE 24th International Requirements Engineering Conference Workshops (REW) . IEEE, 2016, pp. 39–45

2016

Earlier work this paper cites.

A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin, “Attention is all you need,” in Advances in Neural Information Processing Systems , I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, Eds., vol. 30. Curran Associates, Inc., 2017

2017

Earlier work this paper cites.

H. Femmer, D. Méndez Fernández, S. Wagner, and S. Eder, “Rapid quality assurance with requirements smells,” Journal of Systems and Software , vol. 123, pp. 190–213, 2017

2017

Earlier work this paper cites.

J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” 2018

2018

Earlier work this paper cites.

J. Fischbach, B. Hauptmann, L. Konwitschny, D. Spies, and A. Vogelsang, “Towards causality extraction from requirements,” in IEEE 28th International Requirements Engineering Conference (RE) . IEEE, 2020, pp. 388–393

2020

Cited alongside, same era.

D. Dell’Anna, F. B. Aydemir, and F. Dalpiaz, “Evaluating classifiers in SE research: the ECSER pipeline and two replication studies,” Empirical Software Engineering , vol. 28, no. 1, Nov. 2022

2022

Cited alongside, same era.

J. Frattini, L. Montgomery, J. Fischbach, M. Unterkalmsteiner, D. Mendez, and D. Fucci, “A live extensible ontology of quality factors for textual requirements,” in IEEE 30th International Requirements Engineering Conference (RE) . IEEE, 2022

2022

Cited alongside, same era.

M. Binder, A. Vogt, A. Bajraktari, and A. Vogelsang, “Automatically Classifying Kano Model Factors in App Reviews,” in International Working Conference on Requirements Engineering: Foundation for Software Quality . Springer Nature Switzerland Cham, 2023, pp. 245–261

2023

Later among the works it cites.

A. D. Rodriguez, K. R. Dearstyne, and J. Cleland-Huang, “Prompts matter: Insights and strategies for prompt engineering in automated software traceability,” in IEEE 31st International Requirements Engineering Conference Workshops (REW) , 2023, pp. 455–464

2023

Later among the works it cites.

A. Vogelsang and J. Fischbach, “Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline,” in Handbook of Natural Language Processing for Requirements Engineering , A. Ferrari and G. G. Deshpande, Eds. Cham: Springer International Publishing, 2024

2024

Closest in time.