Mahmoud Nassar

Saloua Bennani, Iliass Ait El Kouch, Mahmoud El Hamlaoui et al.

Complex systems are typically designed collaboratively by stakeholders from different domains. This multi viewpoints paradigm promotes the separation of concerns since separate teams, from different business viewpoints, build partial models describing the system. These partial models are naturally heterogeneous. So, it is difficult to ensure their inter-model consistency if kept separately. For that, we propose a collaborative approach that combines Group Decision Making (GDM) and Model-Based Engineering (MBE). This paper highlights the GDM part of our approach and especially the concept of decision policy that enables coming up with collective decisions in group decision-making contexts.

Youness Laghouaouta, Adil Anwar, Mahmoud Nassar

In a multi-modeling based approach, the system under development is described by several models that represent various perspectives and concerns. Obviously, these partial representations are less complex than the global model, but they need to be composed to address validation and synchronization tasks. The model composition is a crucial model driven development operation, but it remains a tedious and error prone activity. In this perspective, a traceability mechanism offers a way to master this complexity by providing support to comprehend the composition effects. In previous work, we presented a traceability approach dedicated to this operation. The current takes advantages of these experiments, and proposes a formalization of the model composition traceability. Also, an overview of a generic traceability approach is provided. The latter relies on the formal definition we introduce for the model composition operation and the related traces.

Hatim Guermah, Tarik Fissaa, Hatim Hafiddi et al.

In the field of ubiquitous computing, a class of applications called context-aware services attracted great interest especially since the emergence of wireless technologies and mobile devices. Context-aware application can dynamically capture a range of information from its environment and this information represents a context, the application adapts its execution according to this context. An important challenge in ubiquitous computing is dealing with context. Ontologies presents the most promising instrument for context modeling and managing due to their high and formal expressiveness and the possibilities for applying ontology reasoning techniques. In this paper, we present an ontology based approach for the development of context aware services.

Boutaina Chakir, Mounia Fredj, Mahmoud Nassar

Service Oriented Architecture (SOA) is an architectural paradigm that describes how organizations, people and systems provide and use services to achieve their goals and enhance productivity. Moreover, with the evolution of SOA, the focus in software development has shifted from applications to reusable services. However, the reuse in SOA is more seen as composition of fine-grained services rather than reuse of services implementation to build new services with additional functionalities. This can have some performance repercussions. Hence, in this paper, we propose a model driven method for managing Web service's variability based on MDA (Model Driven Architecture) as a way to promote reuse. In fact, through MDA, the method enables the automation of Web service's realization regardless of the supported platforms. Moreover, we present a WSDL extension meta-model called VarWSDL which enhances Web services by variability notions.