Enhancing Software Requirements Classification with Semisupervised GAN-BERT Technique

Enhancing Software Requirements Classification with Semisupervised GAN-BERT Technique

The field of automatic detection of quality attributes from software requirements’ text stands as one of the most pioneering realms within software requirements research. Such automatic quality attributes aim to aid stakeholders in establishing the system architecture and preemptively circumventing...

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Bibliographic Details
Main Author:	Gregorius Airlangga
Format:	Article
Language:	English
Published:	Wiley 2024-01-01
Series:	Journal of Electrical and Computer Engineering
Online Access:	http://dx.doi.org/10.1155/2024/4955691
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