PrivacyStory: Tool Support for Extracting Privacy Requirements from User Stories

PrivacyStory: Tool Support for Extracting Privacy Requirements from User Stories

Abstract

Privacy by design requires that developers address privacy concerns from the early stage of the 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. The video demonstration of the tools can be found at the following linkfootnote{https://youtu.be/0ylGZWI6_Rw}

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Authors
  • Herwanto, Guntur B.
  • Quirchmayr, Gerald
  • Tjoa, A Min
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Poster)
Event Title
30th IEEE international requirements engineering conference, RE 2022
Divisions
Multimedia Information Systems
Event Location
Melbourne, Australia
Event Type
Conference
Event Dates
15-20 August 2022
Series Name
Proceedings of the 30th IEEE international requirements engineering conference, RE 2022
ISSN/ISBN
978-1-6654-7000-1/22
Page Range
pp. 264-265
Date
19 October 2022
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