EQL-CE: An Event Query Language for Connected Environment Management

International audienceRecent technological advances have fueled the rise of connected environments (e.g., smart buildings and cities). Event Query Languages (EQL) have been used to define (and later detect) events in these environments. However, existing languages are limited to the definition of event patterns. They share the following limitations: (i) lack of consideration of the environment, sensor network, and application domain in their queries; (ii) lack of provided query types for the definition/handling of components/component instances; (iii) lack of considered data and datatypes (e.g., scalar, multimedia) needed for the definition of specific events; and (iv) difficulty in coping with the dynamicity of the environments. To address the aforementioned limitations, we propose here an EQL specifically designed for connected environments, denoted EQL-CE. We describe its framework, detail the used language, syntax, and queries. Finally, we illustrate the usage of EQL-CE in a smart mall example

A new approach to the semantics of model diagrams

Sometimes, a diagram can say more than a thousand lines of code. But, sadly, most of the time, software engineers give up on diagrams after the design phase, and all real work is done in code. The supremacy of code over diagrams would be leveled if diagrams were code. This paper suggests that model and instance diagrams, or, which amounts to the same, class and object diagrams, become first level entities in a suitably expressive programming language, viz., type theory. The proposed semantics of diagrams is compositional and self-describing, i.e., reflexive, or metacircular. Moreover, it is well suited for metamodelling and model driven engineering, as it is possible to prove model transformations correct in type theory. The encoding into type theory has the additional benefit of making diagrams immediately useful, given an implementation of type theory

EQL-CE: An Event Query Language for Connected Environments

International audienceRecent advances in sensor technology and information processing have allowed connected environments to impact various application domains. In order to detect events in these environments, existing works rely on the sensed data. However, these works are not re-usable since they statically define the targeted events (i.e., the definitions are hard to modify when needed). Here, we present a generic framework for event detection composed of (i) a representation of the environment; (ii) an event detection mechanism; and (iii) an Event Query Language (EQL) for user/framework interaction. This paper focuses on detailing the EQL which allows the definition of the data model components, handles instances of each component, protects the security/privacy of data/users, and defines/detects events. We also propose a query optimizer in order to handle the dynamicity of the environment and spatial/temporal constraints. We finally illustrate the EQL and conclude the paper with some future works

Experiences in teaching a graduate course on model-driven software development

Cataloged from PDF version of article.Model-driven software development (MDSD) aims to support the development and evolution of software intensive systems using the basic concepts of model, metamodel, and model transformation. In parallel with the ongoing academic research, MDSD is more and more applied in industrial practices. After being accepted both by a broad community of researchers and the industry, it is now being introduced in university courses. This article describes the experiences of three years of teaching of the graduate course Model-Driven Software Development at Bilkent University in Turkey. The lessons learned can be useful for peer educators who teach or aim to teach a similar course. © 2011 Copyright Taylor and Francis Group, LLC