Paper Info
Title
A domain-specific language for context modeling in context-aware systems
Abstract
Context-awareness refers to systems that can both sense and react based on their environment. One of the main difficulties that developers of context-aware systems must tackle is how to manage the needed context information. In this paper we present MLContext, a textual Domain-Specific Language (DSL) which is specially tailored for modeling context information. It has been implemented by applying Model-Driven Development (MDD) techniques to automatically generate software artifacts from context models. The MLContext abstract syntax has been defined as a metamodel, and model-to text transformations have been written to generate the desired software artifacts. The concrete syntax has been defined with the EMFText tool, which generates an editor and model injector. MLContext has been designed to provide a high-level abstraction, to be easy to learn, and to promote reuse of context models. A domain analysis has been applied to elicit the requirements and design choices to be taken into account in creating the DSL. As a proof of concept of the proposal, the generative approach has been applied to two different middleware platforms for context management.
Year
DOI
Venue
2013
10.1016/j.jss.2013.07.008
Journal of Systems and Software
Keywords
Field
DocType
emftext tool,concrete syntax,software artifact,context information,mlcontext abstract syntax,context modeling,context management,model-driven development,context model,context-aware system,domain-specific language,needed context information
Middleware,Domain-specific language,Domain analysis,Programming language,Context management,Software engineering,Systems engineering,Computer science,Context model,Proof of concept,Abstract syntax,Metamodeling
Journal
Volume
Issue
ISSN
86
11
0164-1212
Citations 
PageRank 
References 
19
0.79
36
Authors
3
Name
Order
Citations
PageRank
José Ramón Hoyos1382.58
jesus garcia molina250739.57
Juan A. Botía337035.47