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Centre de Recherche en Informatique (CRI), Université Panthéon Sorbonne, Paris, France, Lab-STICC, ENSTA Bretagne, Brest, France

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1 Papers

Preference-based Conflict Resolution for Collaborative Configuration of Product Lines

Topics: Software Product Line Engineering; Collaborative Software Engineering

Authors: Sabrine Edded ¹ , Sihem Ben Sassi ² , Raul Mazo ³ , Camille Salinesi ⁴ and Henda Ben Ghezala ⁵

Affiliations: ¹ Centre de Recherche en Informatique (CRI), Université Panthéon Sorbonne, Paris, France, RIADI Lab., National School of Computer Sciences, Manouba University, Tunisia , ² RIADI Lab., National School of Computer Sciences, Manouba University, Tunisia, MIS Department - CBA, University of Taibah, P.O. Box 344, Al-Madinah, Saudi Arabia , ³ Centre de Recherche en Informatique (CRI), Université Panthéon Sorbonne, Paris, France, Lab-STICC, ENSTA Bretagne, Brest, France , ⁴ Centre de Recherche en Informatique (CRI), Université Panthéon Sorbonne, Paris, France , ⁵ RIADI Lab., National School of Computer Sciences, Manouba University, Tunisia

Digital Object Identifier: 10.5220/0009346102970304

Proceedings of ENASE 2020, ISBN: 978-989-758-421-3

Quick Abstract

In the context of Product lines, the collaborative configuration process gets complicated when the configuration decisions of involved stakeholders are contradictory, which may lead to conflicting situations. Although considerable research has been devoted to collaborative configuration, little attention has been paid to conflict resolution. Moreover, most of existing approaches rely on a systematic process which constraint decisions of some stakeholders. In this paper, we propose a new collaborative configuration approach which allows conflict resolution based on stakeholders preferences expressed through a set of substitution rules. Based on such preferences, we delete the minimal set of conflicting configuration decisions which are identified using the Minimal Correction Subsets (MCSs) computing algorithm. An illustrating example and a tool prototype are presented to evaluate the applicability of our approach.