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Authors: Ben Abdallah Mounira 1 ; Zaaboub Haddar Nahla 1 and Hanêne Ben-abdallah 2

Affiliations: 1 University of Sfax, Tunisia ; 2 Faculté Des Sciences Economiques Et De Gestion, Tunisia

ISBN: 978-989-8565-26-6

Keyword(s): Analytical Requirements Generation, Goal Requirements Language (Grl), Uml Modeling.

Abstract: In this paper, we are interested in the requirements engineering of decision support systems. In particular, we propose a method, called Analytic Requirements Generation Method (ARGeM), for automatic generation of analytic requirements. Our method meets the strategic goals of the enterprise and produces loadable DW schemas. It begins with modeling the goals of the enterprise and uses the UML IS modeling artifacts to generate automatically a complete set of candidate analytic needs. These needs are, subsequently validated by the decision makers who are thus directly involved in the specification process. Once validated, needs contribute to the design of the DW.

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Paper citation in several formats:
Mounira B.; Nahla Z.; Ben-abdallah H. and (2012). A Goal-based Method for Automatic Generation of Analytic Needs.In Proceedings of the Second International Symposium on Business Modeling and Software Design - Volume 1: BMSD, ISBN 978-989-8565-26-6, pages 150-156. DOI: 10.5220/0004462201500156

@conference{bmsd12,
author={Ben Abdallah Mounira and Zaaboub Haddar Nahla and Hanêne Ben{-}abdallah},
title={A Goal-based Method for Automatic Generation of Analytic Needs},
booktitle={Proceedings of the Second International Symposium on Business Modeling and Software Design - Volume 1: BMSD,},
year={2012},
pages={150-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004462201500156},
isbn={978-989-8565-26-6},
}

TY - CONF

JO - Proceedings of the Second International Symposium on Business Modeling and Software Design - Volume 1: BMSD,
TI - A Goal-based Method for Automatic Generation of Analytic Needs
SN - 978-989-8565-26-6
AU - Mounira, B.
AU - Nahla, Z.
AU - Ben-abdallah, H.
PY - 2012
SP - 150
EP - 156
DO - 10.5220/0004462201500156

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