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Article type: Research Article
Authors: Amroune, Mohameda; b; * | Zarour, Nacereddinea | Laouar, Mohamed Riddac; * | Eom, Sean B.d; * | Bendjenna, Hakimc
Affiliations: [a] Department of Computer Science, University of Constantine 2, Constantine, Algeria | [b] University of Toulouse II, Toulouse, France | [c] Department of Mathematics and Computer Science, University of Tebessa, Tebessa, Algeria | [d] Department of Accounting, Southeast Missouri State University, Cape Girardeau, MO, USA
Correspondence: [*] Corresponding authors: Mohamed Amroune, Department of Computer Science, University of Constantine 2, Algeria, & University of Toulouse II, France. Tel.: +213 66 136 6792; Fax: +213 37 490 744; E-mail: medamroune@gmail.com; Mohamed Ridda Laouar, Department of Mathematics and Computer Science, University of Tebessa, Algeria. Tel.: +213 66 861 1181; Fax: +213 37 484 196; E-mail: ridda_laouar@yahoo.fr; Sean Eom, Professor of MIS Department of Accounting, MS 5815, Southeast Missouri State University, Cape Girardeau, MO 63701, USA. Tel.: +1 573 651 2615; Fax: +1 573 651 2992; E-mail: sbeom@semo.edu
Abstract: The requirements composition is an important activity in Aspect-Oriented Requirements Engineering (AORE). This activity is used to define functionalities of the future system. It consists of the composition of aspectual requirements with base requirements. This composition may raise conflicting situations between aspectual requirements. However, a conflict appear when two or more aspectual requirements (aspect) that contribute negatively to each other and have the same degree of importance must to be composed together to define functionalities of the future system. This conflict need to be identified and resolved. In this paper, we propose a multi-criteria process to resolve conflicts in the context of AORE. This process use fuzzy measure and Choquet integral to take into account the interaction between these criteria when they are not mutually independent.
Keywords: Requirements engineering, requirements composition, multi-criteria decision making, fuzzy measure, Choquet integral
DOI: 10.3233/HSM-130802
Journal: Human Systems Management, vol. 33, no. 1-2, pp. 27-34, 2014
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