PrivacyStory: Tool Support for Extracting Privacy Requirements from User Stories

2022 IEEE 30th International Requirements Engineering Conference (RE)(2022)

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摘要
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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关键词
privacy requirements engineering,user story,natural language processing
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