Record link: 
http://hdl.handle.net/20.500.12708/142562
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Title: 
PrivacyStory: Tool Support for Extracting Privacy Requirements from User Stories
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Citation: 
Herwanto, G. B., Quirchmayr, G., & A. Tjoa. (2022). PrivacyStory: Tool Support for Extracting Privacy Requirements from User Stories. In Proceedings 2022 IEEE 30th International Requirements Engineering Conference (RE) (pp. 264–265). https://doi.org/10.1109/RE54965.2022.00036
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Publisher DOI: 
10.1109/RE54965.2022.00036
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Herwanto, Guntur Budi 
Quirchmayr, Gerald 
A. Tjoa 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
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Published in: 
Proceedings 2022 IEEE 30th International Requirements Engineering Conference (RE) 
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DOI of the book: 
10.1109/RE54965.2022.00001
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Date (published): 
19-Oct-2022
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Event name: 
2022 IEEE 30th International Requirements Engineering Conference (RE) 
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Event date: 
15-Aug-2022 - 19-Aug-2022
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Event place: 
Australia
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Number of Pages: 
2
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Peer reviewed: 
Yes
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Keywords: 
privacy
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data privacy; automation; art; software; natural language processing; requirements engineering
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Abstract: 
Privacy by design requires that developers address privacy concerns from the early stage of software development life cycle. It encourages them to take a proactive approach to privacy engineering by identifying personal data, creating conceptual data flow diagrams, and identifying privacy threats. We argue that by providing a tool that automates some of the steps can reduce the burden on development teams. We develop a tool called PrivacyStory, including an end-to-end privacy requirement generation from a set of user stories. The tool provides some automation, utilizing a current state-of-the art natural language processing model. The core aim of our tool is to assist development teams in becoming more agile in their approach to privacy requirements engineering.
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Research Areas: 
Computer Science Foundations: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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