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DOI: 10.14569/IJACSA.2011.020502
PDF

QVT transformation by modelling - From UML Model to MD Model

Author 1: I Arrassen
Author 2: A.Meziane
Author 3: R.Sbai
Author 4: M.Erramdani

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 5, 2011.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: To provide a complete analysis of the organization, its business and its needs, it is necessary for leaders to have data that help decision making. Data warehouses are designed to meet such needs; they are an analysis and data management technology. This article describes an MDA (Model Driven Architecture) process that we have used to automatically generate the multidimensional schema of data warehouse. This process uses model transformation using several standards such as Unified Modeling Language, Meta-Object Facility, Query View Transformation, Object Constraint Language, ... From the UML model, especially the class diagram, a multidimensional model is generated as an XML file, the transformation is carried out by the QVT (Query View Transformation) language and the OCL (Object Constraint Language) Language. To validate our approach a case study is presented at the end of this work.

Keywords: Datawarehouse; Model Driven Architecture; Multidimensional Modeling; Meta Model; Transformation rules; Query View Transformation

I Arrassen, A.Meziane, R.Sbai and M.Erramdani, “QVT transformation by modelling - From UML Model to MD Model ” International Journal of Advanced Computer Science and Applications(IJACSA), 2(5), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020502

@article{Arrassen2011,
title = {QVT transformation by modelling - From UML Model to MD Model },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020502},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020502},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {5},
author = {I Arrassen and A.Meziane and R.Sbai and M.Erramdani}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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