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Automatic identification of privacy and security requirements: a systematic literature review

Francesco Casillo et al.

Requirements Engineering2025https://doi.org/10.1007/s00766-025-00455-4article
AJG 2
Weight
0.50

What the paper says

The utmost importance of privacy and security requirements in software development calls for adopting methods that enable the identification and proactive mitigation of these issues during the system development. Our survey of 45 primary studies provides an overview of the methods, document types, and datasets employed in tackling this challenge, along with an analysis of approaches demonstrating superior performance based on document types and specific identification problems. Analysis reveals a wide adoption of ML-based systems on diverse datasets, showcasing the effectiveness of leveraging various sources of information to identify privacy and security requirements in software development.

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Cite this paper

https://doi.org/https://doi.org/10.1007/s00766-025-00455-4

Or copy a formatted citation

@article{francesco2025,
  title        = {{Automatic identification of privacy and security requirements: a systematic literature review}},
  author       = {Francesco Casillo et al.},
  journal      = {Requirements Engineering},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s00766-025-00455-4},
}

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Automatic identification of privacy and security requirements: a systematic literature review

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.