International audienceDespite its growing acceptance, Service-Oriented Computing (SOC) remains a computing mechanism to speed up the design of software applications by assembling ready-made software services. We argue that it is difficult for business people to fully benefit of SOC if it remains at the software level. The paper proposes a move toward a description of services in business terms, i.e., intentions and strategies to achieve them and to organize their publication, search, and composition on the basis of these descriptions. In this way, it leverages SOC to an intentional level, ISOC. We present ISM, the model to describe intentional services, and populate the service registry with their descriptions. We highlight its intention-driven perspective for service description, retrieval, and composition. Thereafter, we propose a methodology to determine intentional services that meet business goals and to publish them in the registry. Finally, the paper introduces a set of transformations to bridge the gap from the intentional level to the implementation one
The current evolution of Service-Oriented Computing in ubiquitous systems is leading to the development of context-aware services. Context-aware services are services of which the description is enriched with context information related to non-functional requirements, describing the service execution environment or its adaptation capabilities. This information is often used for discovery and adaptation purposes. However, in real-life systems, context information is naturally dynamic, uncertain, and incomplete, which represents an important issue when comparing the service description with user requirements. Uncertainty of context information may lead to an inexact match between provided and required service capabilities, and consequently to the non-selection of services. In this chapter, we focus on how to handle uncertain and incomplete context information for service selection. We consider this issue by presenting a service ranking and selection algorithm, inspired by graph-based matching algorithms. This graph-based service selection algorithm compares contextual service descriptions using similarity measures that allow inexact matching. The service description and non-functional requirements are compared using two kinds of similarity measures: local measures, which compare individually required and provided properties, and global measures, which take into account the context description as a whole.
International audienceContext-oriented systems are systems that observe and handle context information from the environment to guide their own behavior. Engineering such systems represents a complex task not only due to their complexity, but also due to the notion of context. Handling this notion involves tackling several challenges, demanding to system designers a certain knowledge and expertise about this notion. In order to help designers on this engineering process, we propose in this paper a roadmap on context management and a requirements elicitation process. This roadmap aims at sharing with non-expert designers the necessary expertise on context management allowing them to better understand the notion of context and its challenges. The elicitation process aims at guiding these non-expert designers across the roadmap, supporting them in their requirements elicitation process concerning context management. The proposal is presented on a running example that illustrates the approach
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