MNoR-BERT: multi-label classification of non-functional requirements using BERT
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08833-1.pdf
Reference49 articles.
1. Achimugu P, Selamat A, Ibrahim R, Mahrin MN (2014) A systematic literature review of software requirements prioritization research. Inform Softw Technol. https://doi.org/10.1016/j.infsof.2014.02.001
2. Araujo A, Golo M, Viana B, Sanches F, Romero R, Marcacini R (2020) From bag-of-words to pre-trained neural language models: improving automatic classification of app reviews for requirements engineering. Anais do XVII Encontro Nacional de Inteligência Artificial e Computacional. https://doi.org/10.5753/eniac.2020.12144
3. Aslam N, Ramay WY, Xia K, Sarwar N (2020) Convolutional neural network based classification of app reviews. IEEE Access 8:185619–185628. https://doi.org/10.1109/ACCESS.2020.3029634
4. C Baker, L Deng, S Chakraborty, J Dehlinger, (2019) Automatic multi-class non-functional software requirements classification using neural networks. In: Proceedings–Int Comput Softw Appl Conference, 2: 610–615, https://doi.org/10.1109/COMPSAC.2019.10275
5. Benites F, Sapozhnikova E (2016) HARAM: a Hierarchical ARAM neural network for large-scale text classification. In: Proceedings–15th IEEE International Conference on Data Mining Workshop, ICDMW 7: 847–854. https://doi.org/10.1109/ICDMW.2015.14
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