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M'Barek S.,RIADI Laboratory | Baccouche L.,RIADI Laboratory | Ghezala H.B.,RIADI Laboratory
Journal of Database Management | Year: 2016

Real-time applications managing a large number of real-time data require the use of Real-time Database Management Systems (RTDBMS) to meet temporal constraints of both real-time data and transactions. However, a RTDBMS has a dynamic workload and may be frequently overloaded since the arrival times and workloads of user transactions are unpredictable. Therefore, Quality of Service management solutions have been proposed to guarantee the stability of RTDBMS even during unpredictable overload periods. While effective, the design and reuse of these solutions is challenging because they are not formally modeled and there is no tool neither a methodology that helps us design such solutions. To address these issues, the authors propose a design framework based on the Model-Driven Engineering approach providing a modeling architecture, a strategic methodology and a software tool to support modeling and reusing such solutions. The framework is implemented and tested for a real Qos management solution. © 2016, IGI Global.

Zaouali S.,University of Sousse | Ghannouchi S.A.,RIADI Laboratory
Proceedings - 2016 3rd International Conference on Systems of Collaboration, SysCo 2016 | Year: 2016

Software development processes have known important evolutions such as the appearance of the agile methods. They become now the centre of interest of all development teams. Furthermore, BPM is an approach for modelling and automating business processes, favouring their continuous improvement. This paper proposes a new approach for conducting agile software development projects, based on BPM in order to have a comprehensible modelling of the corresponding processes, automating them, facilitating their management and favouring the collaboration between the involved actors. The case of the agile Scrum method is taken in order to model the corresponding development process and implement an executable prototype for Scrum teams. © 2016 IEEE.

Ben Slimene Ben Amor I.,RIADI Laboratory | Chehata N.,Bordeaux INP | Lagacherie P.,French National Institute for Agricultural Research | Bailly J.-S.,Agro ParisTech | Farah I.R.,RIADI Laboratory
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2015

Active learning (AL) has shown a great potential in the field of remote sensing to improve the efficiency of the classification process while keeping a limited training dataset. Active learning uses heuristics to select the most informative pixels in each iteration. In literature, there are several metrics and selection criteria. In this paper, we focus on the uncertainty heuristics for large margin active learning. Existing uncertainty metrics are presented and combined to new ones using support vector machine learning algorithm. Besides, a new methodology is proposed, which automates a priori the choice of the best uncertainty heuristic. This contribution is evaluated on hyperspectral datasets while varying two parameters: class mixing and class balance. Finally discussion and conclusion are drawn. © 2015 IEEE.

Ilahi L.,RIADI Laboratory | Martinho R.,University of Porto | Ghannouchi S.A.,RIADI Laboratory | Domingos D.,University of Lisbon | Rijo R.,Polytechnic Institute of Leiria
Proceedings - 2016 IEEE World Congress on Services, SERVICES 2016 | Year: 2016

Organizations that include several organizational units with similar business processes often suffer, with time, from the proliferation of processes variant models that significantly deviate from the original (to be followed) one. Take, for instance, student enrolment processes on distinct faculties of the same university, or healthcare processes of a National Health Service across distinct health centers. This can lead to poor global (process) management, since measuring and improving processes can be difficult with too many variants of the same business process. Related works analyse the generalisation and flexibility aspects of process models and related variants, but do not deal with the overall process model lifecycle, especially for this kind of organizations. This paper introduces a novel approach for the Governance and continuous improvement of process models for this kind of organizations. The approach is based on the general Business Process Management (BPM) cycle for process models, proposing concrete techniques for the phases of evaluation, classification and analysis between real and concrete variant models from each organizational unit. It includes the use of similarity metrics and flexibility in business processes, and the main output is a continuously improved template process model. This template foresees a common process part (best practice-based) including process elements collected from the process model variants verified in organizational units, and a flexible part, referring to possible (controlled) deviations that can be tolerated by the organization's headquarters. This approach enhances overall business process management and associated resources by enforcing uniform (good) behavior across similar organizational units. We present the results of our approach applied to a real-world case study of home-healthcare related business process models. © 2016 IEEE.

Drira R.,RIADI Laboratory | Laroussi M.,RIADI Laboratory | Le Pallec X.,LIFL Laboratory | Warin B.,ULCO
IEEE Transactions on Learning Technologies | Year: 2012

In this paper, we first demonstrate that an instructional design process of Technology Enhanced Learning (TEL) systems based on a Model Driven Approach (MDA) addresses the limits of Learning Technology Standards (LTS), such as SCORM and IMS-LD. Although these standards ensure the interoperability of TEL systems across different Learning Management Systems (LMS), they are generic and lack expressiveness. In addition, the use of LTS limits designers to using a compliant LMS. MDA addresses these limits by allowing pedagogic modeling based on specific modeling languages and by ensuring interoperability across Learning Management Systems based on model transformations. In the context of an MDA-based design process, we propose a novel approach, named ACoMoD, to help designers to bridge the gap between pedagogic modeling and LMS specifications, based on graphic and interactive model transformations. Our approach, implemented with a tool called Gen-COM, enables designers to choose more effective LMS tools, based on a contextual recommendation of best practice for LMS tool use. Gen-COM and its evaluation with designers are described in this paper. The main results show, first, the usefulness of tailoring pedagogy with LMS tools based on the proposed solution. Second, the results show different levels of usefulness of the proposed assistance according to different situations that will be detailed. Some improvements are suggested and are in progress concerning the extension of Gen-COM to offer assistance to designers based on their profiles. © 2008-2011 IEEE.

Hamida A.,RIADI Laboratory | Mohsen G.M.,RIADI Laboratory
2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011 | Year: 2011

More than a decade, the task of generating associative rules has received considerable attention by researchers because the great need of enterprise deciders to be assisted by systems taking into account unknown knowledge extracted from a huge volume of data. In this paper, we present a survey of the most known algorithms used for associative rules extraction. We give a comparative study between them and we show that they could be classified into some categories. © 2011 IEEE.

Malek J.,RIADI Laboratory | Laroussi M.,RIADI Laboratory
IKT 2013 - 2013 5th Conference on Information and Knowledge Technology | Year: 2013

In this paper, we present a bidirectional learning scenario model transformation framework for bridging IMS-LD interoperability standard and pervasive Learning Environments design. It includes two modules: (1) IMS-LD to CAAML Transformation Module aiming to facilitate the reuse and the enrichment of existant IMS-LD Learning scenario models; (2) CAAML to IMS-LD Transformation Module aiming to provide possibilities to deploy pervasive learning scenario models generated by ContAct-Me in pre-existing Learning management systems. © 2013 IEEE.

Amri R.,RIADI Laboratory | Bellamine Ben Saoud N.,Institute superieur dinformatique
Proceedings - 2014 4th International Conference on Advances in Computing and Communications, ICACC 2014 | Year: 2014

Since many years sustainability is becoming a challenging issue in software engineering domain. However till now, no clear nor exhaustive characterization was proposed to the concept of "sustainable software". Without it, sustainability remains an intangible ideal for software systems and consequently can't be assessed nor controlled nor enhanced. To cover this gap, we propose a Generic Sustainable Software Star Model (GS3M) that forms the basis towards a "complete" view of sustainable software. The model covers different sustainability dimensions: environmental, technical, social, individual and economic. For each dimension we define corresponding software sustainability values. To each value are associated software attributes promoting it. And each attribute can be composed of sub-attributes. To this last is associated a well defined metric. © 2014 IEEE.

Malek J.,RIADI Laboratory | Laroussi M.,RIADI Laboratory | Ben Ghezala H.,RIADI Laboratory
Proceedings - 9th International Conference on Intelligent Environments, IE 2013 | Year: 2013

In this paper we present a design Framework for Smart City Learning scenarios based on three main aspects Learner, Contextualized Activity and Space. The strengths of our Design framework lie in the fact that, in a formal manner through friendly graphical interfaces, it allows pedagogical designers and teachers:(1) to specify, model, generate and simulate different types of context-aware and adaptive learning activities (e-learning, M-learning and P-learning) and their related contexts. (2) to design indoor and outdoor spaces within smart cities to enable pupils or students to learn through factual cases and to experiment various learning scenarios.(3) To model and simulate interactions and co-adaptivity rules between Learner, Contextualized Activity and Space. © 2013 IEEE.

Malek J.,RIADI Laboratory | Malek J.,Lille University of Science and Technology | Laroussi M.,Lille University of Science and Technology | Derycke A.,Lille University of Science and Technology | Ben Ghezala H.,RIADI Laboratory
Proceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010 | Year: 2010

This paper presents the results of our innovative approach for the realization of a model driven development framework for modeling context-aware adaptive learning activities within Context-aware and adaptive learning environments. Its core element consists of a domain specific visual modeling language called CAAML (Context-aware Adaptive Activities Modeling Language). After, we present the developed authoring tool based on CAAML language and that aims to support pedagogical designers to model context-aware adaptive learning activities and transform them into executable models represented in IMS-LD. © 2010 Crown Copyright.

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