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Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models. (arXiv:2202.01035v1 [cs.SE])
Feb. 3, 2022, 2:20 a.m. | Francesco Casillo, Vincenzo Deufemia, Carmine Gravino
cs.CR updates on arXiv.org arxiv.org
To provide privacy-aware software systems, it is crucial to consider privacy
from the very beginning of the development. However, developers do not have the
expertise and the knowledge required to embed the legal and social requirements
for data protection into software systems. Objective: We present an approach to
decrease privacy risks during agile software development by automatically
detecting privacy-related information in the context of user story
requirements, a prominent notation in agile Requirement Engineering (RE).
Methods: The proposed approach combines …
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