摘要
In order to ensure policy compliance, it is important for all stakeholders to understand the policy. One of the ways in which policies are represented in an organization is first-order logic. We propose a metric-based approach to measure understandability by measuring the structural complexity of the first-order representation of a policy. In this regard, we define a two-step approach that first calculates the complexity of an individual policy and then computes the complexity of a set of policies or a policy set. A running example of a policy set of six policies taken from the health domain is used. Finally, we evaluate the metrics using theoretical framework of Zuse. The relationship between structural complexity of a policy set and understandability is established by performing empirical validations. This was done by formulating policy sets from 23 domains.
- 出版日期2018-6