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An MDA approach for developing Secure OLAP applications: metamodels and transformations
Computer Science and Information Systems, Tome 12 (2015) no. 2 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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Decision makers query enterprise information stored in DataWarehouses (DW) by using tools (such as On-Line Analytical Processing (OLAP) tools) which employ specific views or cubes from the corporate DW or Data Marts, based on multidimensional modelling. Since the information managed is critical, security constraints have to be correctly established in order to avoid unauthorized access. In previous work we defined a Model-Driven based approach for developing a secure DWrepository by following a relational approach. Nevertheless, it is also important to define security constraints in the metadata layer that connects the DW repository with the OLAP tools; that is, over the same multidimensional structures that end users manage. This paper incorporates a proposal for developing secure OLAP applications within our previous approach: it improves a UML profile for conceptual modelling; it defines a logical metamodel for OLAP applications; and it defines and implements transformations from conceptual to logical models, as well as from logical models to secure implementation in a specific OLAP tool (SQL Server Analysis Services).
Keywords: security, confidentiality, OLAP, data warehouses, MDD, MDA, QVT, MOFScript, SSAS 
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     author = {Carlos Blanco and Ignacio Garc{\'\i}a-Rodr{\'\i}guez de Guzm\'an and Eduardo Fern\'andez-Medina and Juan Trujillo},
     title = {An {MDA} approach for developing {Secure} {OLAP} applications: metamodels and transformations},
     journal = {Computer Science and Information Systems},
     year = {2015},
     volume = {12},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a11/}
}
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Carlos Blanco; Ignacio García-Rodríguez de Guzmán; Eduardo Fernández-Medina; Juan Trujillo. An MDA approach for developing Secure OLAP applications: metamodels and transformations. Computer Science and Information Systems, Tome 12 (2015) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a11/