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Amroune M.,University of Tebessa | Zarour N.,University of Mentouri Constantine | Charrel P.J.,University of Toulouse II - Le Mirail | Inglebert J.M.,IRIT Laboratory
Proceedings of the 2012 IEEE 2nd International Workshop on Advanced Information Systems for Enterprises, IWAISE 2012 | Year: 2012

In systems engineering, reuse is defined as the utilization of previously developed systems engineering products or artifacts such as architectures and requirements. Previously, we proposed an approach named AspeCiS to develop a Cooperative IS (CIS) from existing ISs by using their artifacts such as requirements, and design. This approach can be justified by the fact that it is frequently not easy for a sole Information System (IS) to achieve a new emerging complex task. One solution is to make existing ISs collaborate to realize this task. So, AspeCiS is structured in three phases, which are: (i) discovery and analysis of Cooperative Requirements, (ii) development of Cooperative Requirements models, and (iii) preparation of the implementation phase. The main issue of AspeCIS is the definition of Cooperative Requirements using the Existing and Additional Requirements, which should be composed with the Aspectual Requirements. We earlier studied how to elicit the Cooperative Requirements in AspeCiS. In the present work, we propose to combine Model-driven engineering (MDE) approach with the Aspect paradigm to define Cooperative Requirements Models. For this, we propose an UML profile which allows designer to model AspeCiS's aspects to produce cooperative requirements models. This profile is a response to the following question: How to model Aspects in AspeCiS? © 2012 IEEE. Source


Escrig B.,IRIT Laboratory
IEEE Transactions on Wireless Communications | Year: 2011

\boldmath We design a cooperative protocol in the context of wireless mesh networks in order to increase the reliability of wireless links. Destination terminals ask for cooperation when they fail in decoding data frames transmitted by source terminals. In that case, each destination terminal D calls a specific relay terminal B with a signaling frame to help its transmission with source terminal S. To select appropriate relays, destination terminals maintain tables of relay terminals, one for each possible source address. These tables are constituted by passively overhearing ongoing transmissions. Hence, when cooperation is needed between S and D, and when a relay B is found by terminal D in the relay table associated with terminal S, the destination terminal sends a negative acknowledgment frame that contains the address of B. When the best relay B has successfully decoded the source message, it sends a copy of the data frame to D using a selective decode-and-forward transmission scheme. The on-demand approach allows maximization of the spatial multiplexing gain and the cooperation of the best relay allows maximization of the spatial diversity order. Hence, the proposed protocol achieves optimal diversity-multiplexing trade-off performance. Moreover, this performance is achieved through a collision-free selection process. © 2011 IEEE. Source


Ali-Yahiya T.,University Pierre and Marie Curie | Beylot A.-L.,IRIT Laboratory | Pujolle G.,University Pierre and Marie Curie
Telecommunication Systems | Year: 2010

This article addresses downlink resource allocation strategies in Mobile WiMAX based on IEEE802.16e standard, using Orthogonal Frequency Division Access (OFDMA). We consider Mobile WiMAX resource allocation strategies for allocating higher layer data to the basic resource allocation units (slots) of OFDMA frames. Then, we introduce two simple allocation methods: Adaptive Slot Allocation (ASA) and Reservation-Based Slot Allocation (RSA). Both approaches consider a fair resource allocation among different types of service flows (SFs) by considering their QoS characteristics and their channel qualities. The ultimate objective of the proposed approaches is to maximize the capacity of the system subject to the quality of service (QoS) constraints for each type of (SFs) in terms of data rate and Bit Error Rate (BER). © 2009 Springer Science+Business Media, LLC. Source


Djabri M.R.,University of Tebessa | Amroune M.,University of Tebessa | Amroune M.,LIRE Laboratory | Amroune M.,IRIT Laboratory
2012 International Conference on Information Technology and e-Services, ICITeS 2012 | Year: 2012

The success of any new software development paradigm heavily relies on providing solid support of tools, methods, and languages. Over the last few years, the aspect oriented paradigm has matured and gained widespread industrial support at the programming phase, while aspect oriented modeling (AOM) is still a fertile field of research. Due to its substantial and crucial importance, the application of aspect orientation at the design stage in software development process has interested many researchers. Recently, numerous works have attempted to provide aspect oriented support at the model level, in various forms that many of which were based on UML, however, there exists no generic AOM language that is capable of supporting all the concepts introduced by the different aspect oriented languages, such as AspectC++. Due to the substantial importance, and to the large use of AspectC++ at the programming level, in software development process, we propose, in this paper, a UML profile for AspectC++ language, which aim to provide AspectC++ specific modeling facility, allowing the modelers to produce aspect oriented models which conform to this language. © 2012 IEEE. Source


Musat C.-C.,Ecole Polytechnique Federale de Lausanne | Faltings B.,Ecole Polytechnique Federale de Lausanne | Roussille P.,IRIT Laboratory
Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013 | Year: 2013

In this paper we investigate the impact of antagonism in online discussions. We define antagonism as a new class of textual opinions - direct sentiment towards the authors of previous comments. We detect the negative sentiment using aspect-based opinion mining techniques. We create a model of human behavior in online communities, based on the network topology and on the communication content. The model contains seven hypotheses, which validate two intuitions. The first intuition is that the content of the messages exchanged in an online community can separate good and insightful contributions from the rest. The second intuition is that there is a delay until the network stabilizes and until standard measures, such as betweenness centrality, can be used accurately. Taken together, these intuitions are a solid case for using the content of the communication along with network measures. We show that the sentiment within the messages, especially antagonism, can significantly alter the community perception. We use real world data, taken from the Slashdot 1 discussion forum to validate our model. All the findings are accompanied by extremely significant t-test p-values. © 2013 IEEE. Source

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