PROPEL: an approach supporting property elucidation
Proceedings of the 24th International Conference on Software Engineering
End-user software engineering with assertions in the spreadsheet paradigm
Proceedings of the 25th International Conference on Software Engineering
Analysis of policy management models and specification languages
Network control and engineering for Qos, security and mobility II
Real-time specification patterns
Proceedings of the 27th international conference on Software engineering
Usable security and privacy: a case study of developing privacy management tools
SOUPS '05 Proceedings of the 2005 symposium on Usable privacy and security
Evaluating interfaces for privacy policy rule authoring
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SOUPS '06 Proceedings of the second symposium on Usable privacy and security
Innovations in Natural Language Document Processing for Requirements Engineering
Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs
Automated extraction of security policies from natural-language software documents
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
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Abstract: Organizations are policy-driven entities. Policy bases can be very large and the relation-ships between policies can be complex. In addition, policy can change on a frequent basis. Checking for gaps in policy or analyzing the ramifications of changing policy is necessary to both identify and rectify gaps or unintended policy prior to the policy base being refined into requirements for a system. A policy workbench is an integrated set of computer-based tools for developing, reasoning about, and maintaining policy. A workbench takes as input a computationally equivalent form of policy statements. We have developed a prototype of a tool that maps natural-language policy statements to an equivalent computational form. In this paper we describe the architecture of a natural-language input-processing tool (NLIPT). It has an extractor, which generates a meaning list representative of the natural-language in-put; an index-term generator, which identifies the key terms used to index relevant policy schema in the policy base; a structural modeler, which structures a schema for input; and a logic modeler, which maps the schema to an equivalent logical form. We experimented with a prototype of the extractor which successfully parsed a sample of ninety-nine Naval Postgraduate School security policy statements with ninety-six percent accuracy.