A UML profile for privacy-aware data lifecycle models
Concerns over data-processing activities that may lead to privacy violations or harms have motivated the development of legal frameworks and standards to govern the processing of personal data. However, it is widely recognised that there is a disconnect between policymakers’ intentions and software...
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| 格式: | Conference item |
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Springer, Cham
2017
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| 總結: | Concerns over data-processing activities that may lead to privacy violations or harms have motivated the development of legal frameworks and standards to govern the processing of personal data. However, it is widely recognised that there is a disconnect between policymakers’ intentions and software engineering reality. The Abstract Personal Data Lifecycle (APDL) model, which was proposed to serve as an abstract model for personal data life-cycles, distinguishes between the main operations that can be performed on personal data during its lifecycle by outlining the various distinct activities for each operation. We show how the APDL can be represented in terms of the Unified Modeling Language (UML). The profile is illustrated via a realistic case study. |
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