Legal Requirements Analysis
CoRR(2023)
摘要
Modern software has been an integral part of everyday activities in many
disciplines and application contexts. Introducing intelligent automation by
leveraging artificial intelligence (AI) led to break-throughs in many fields.
The effectiveness of AI can be attributed to several factors, among which is
the increasing availability of data. Regulations such as the general data
protection regulation (GDPR) in the European Union (EU) are introduced to
ensure the protection of personal data. Software systems that collect, process,
or share personal data are subject to compliance with such regulations.
Developing compliant software depends heavily on addressing legal requirements
stipulated in applicable regulations, a central activity in the requirements
engineering (RE) phase of the software development process. RE is concerned
with specifying and maintaining requirements of a system-to-be, including legal
requirements. Legal agreements which describe the policies organizations
implement for processing personal data can provide an additional source to
regulations for eliciting legal requirements. In this chapter, we explore a
variety of methods for analyzing legal requirements and exemplify them on GDPR.
Specifically, we describe possible alternatives for creating machine-analyzable
representations from regulations, survey the existing automated means for
enabling compliance verification against regulations, and further reflect on
the current challenges of legal requirements analysis.
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