Abstract

The diversity of enterprise domains is one of the significant factors that add to the challenges confronting organizations when managing compliance, and it, therefore, contributes to the cost of compliance. In particular, there is an indication that the inadequacy of a general approach to analyzing compliance documents impedes adequate compliance management practice. Taking an algorithmic-centric approach to tackling this challenge, this paper proposed algorithms and techniques intended to aid useful extraction, classification and analysis of dataflow, control flow, and time constraints in compliance management domain for different stakeholders. The algorithms and techniques were implemented and validated through two case studies and afterward evaluated for its adoption in practice.

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