Reference : A Model-Based Framework for Probabilistic Simulation of Legal Policies
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/21583
A Model-Based Framework for Probabilistic Simulation of Legal Policies
English
Soltana, Ghanem mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sannier, Nicolas mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sabetzadeh, Mehrdad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
2015
18th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS'15)
IEEE
70-79
Yes
No
International
978-1-4673-6908-4
18th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS'15)
from 27-09-2015 to 02-10-2015
Ottawa
Canada
[en] Legal Policy Simulation ; Model- Driven Code Generation ; Probabilistic Data Generation
[en] Legal policy simulation is an important decision-support tool in domains such as taxation. The primary goal of legal policy simulation is predicting how changes in the law affect measures of interest, e.g., revenue. Currently, legal policies are simulated via a combination of spreadsheets and software code. This poses a validation challenge both due to complexity reasons and due to legal experts lacking the expertise to understand software code. A further challenge is that representative data for simulation may be unavailable, thus necessitating a data generator.

We develop a framework for legal policy simulation that is aimed at addressing these challenges. The framework uses models for specifying both legal policies and the probabilistic characteristics of the underlying population. We devise an automated algorithm for simulation data generation. We evaluate our framework through a case study on Luxembourg's Tax Law.
SnT – SVV
Fonds National de la Recherche – FnR
Researchers ; Professionals ; Students ; Others
http://hdl.handle.net/10993/21583
10.1109/MODELS.2015.7338237
FnR ; FNR9242479 > Ghanem Soltana > TaxComp > A Model-Based Framework for Specification and Automated Verification of Compliance to the Tax Law > 01/09/2014 > 31/10/2016 > 2014

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
MODELS15.pdfAuthor preprint1.9 MBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.