A pattern-based method for identifying and analyzing laws
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Beckers, Kristian
Fabbender, Stephen
Kuester, Jan-Christoph
Schmidt, Holger
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Springer
Abstract
Nowadays many legislators decided to enact different laws, which all enforce legal and natural persons to deal more carefully with IT systems. Hence, there is a need for techniques to identify and analyze laws which are relevant for an IT system. But identifying relevant compliance regulations for an IT system and aligning it to be compliant is a challenging task. This paper presents a novel method for identifying and analyzing laws. The method makes use of different kinds of law analysis patterns that allow legal experts and software and system developers to understand and elicit relevant laws for the given development problem. Our approach also helps to detect dependent laws. We illustrate our method using an online-banking cloud scenario.
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Restricted until
2037-12-31
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