Mourad Oussalah

Collaboration among Health Professionals (HPs) is a cornerstone of high-quality medical care. Its success depends not only on the availability of clinical information but also on the effectiveness of information exchange. Electronic Health Records (EHRs) have become the central medium for storing and sharing patient data, yet current systems rarely capture the dynamics of professional interactions. This limitation reduces the potential of EHRs to fully support collaborative decision making and coordinated care. To address this gap, we propose an annotation-based approach aimed at enhancing collaboration within EHR environments. Our contribution is threefold. First, we define methods to structure interactions by explicitly capturing who communicates what and when, thereby organizing the flow of exchanged information. Second, we introduce semantic enrichment techniques that add contextual and meaningful interpretation to annotations. Third, we design a meta-annotation model, grounded in a Knowledge-Based System (KBS), that formally represents collaborative exchanges and ensures consistency. A software prototype operationalizes these concepts, providing a practical tool to support annotation creation and management. By bridging raw information with structured, semantically rich collaboration, our approach enhances workflows, strengthens decision-making, and ultimately improves healthcare delivery.

The purpose of this study is to find the right model to plan and predict future evolution paths of an evolving software architecture based on past evolution data. Thus, in this paper, a model to represent the software architecture evolution process is defined. In order to collect evolution data, a simple formalism allowing to easily express software architecture evolution data is introduced. The sequential pattern extraction technique is applied to the collected evolution styles of an evolving software architecture in order to predict and plan the future evolution paths. A learning and prediction model is defined to generate the software architecture possible future evolution paths. A method for evaluating the generated paths is presented. In addition, we explain and validate our approach through a study on two examples of evolution of component-oriented software architecture.

This paper describes work carried out on a model for the evolution of graph classes in complex objects. By defining evolution rules and propagation strategies on graph classes, we aim to define a user-definable means to manage data evolution model which tackles the complex nature of the classes managed, using the concepts defined in object systems. So, depending on their needs and on those of the targeted application, designers can choose the evolution mechanism they consider to suit them best. They can either create new evolutions or reuse predefined ones to respond to a given need.

International audience—This paper aims to define an adaptive guidance for software process modeling. The proposed guidance approach is based on development's profile context (actor's role in the process, actor's qualification and related activities in progress). We introduce new guidance concepts through adaptive guidance meta-model (AGM) allowing specific assistance interventions (corrective, constructive and automatic guidance). We illustrate our guidance approach using SPEM formalism extended with these new guidance concepts

Métamodélisation de service composite Composite service metamodel

Software architecture modeling and representation became a main phase of the development process of complex systems. In fact, software architecture representation provides many advantages during all phases of software life cycle. Nevertheless, for many systems, like legacy or eroded ones, there is no available representation of their architectures. In order to benefit from this representation, we propose, in this paper, an approach called ROMANTIC which focuses on extracting the architecture of an object-oriented system. The main idea of this approach is to propose a quasi-automatic process of architecture recovery based on the quality characteristics of an architecture by formulating it as a search-based problem. This last acts on the space composed of all possible architectures abstracting the object-oriented system.