A Framework for Analyzing Modeling Languages for Context-Aware Systems

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1 Scopus citations

Abstract

Context-aware systems keep on emerging in all of our daily activities. Context, which can be a location, a user, an actual activity, or physical conditions, plays a major role in such systems. Actually, everything we refer to in our systems can be considered as context. Mechanisms for managing context were devised to cope with this new situation, including frameworks and programming languages. However, modeling languages that address the notion of context are rare. In this paper, we aim to frame and further define the requirements for context modeling languages. Such a conceptualized framework sets the ground for designing and evaluating modeling languages for context-aware systems. We demonstrate a possible use of the proposed framework through the evaluation of context-oriented modeling languages: UML-based Context Modeling and Context-Oriented Live Sequence Chart (CO-LSC).

Original languageEnglish
Article number149
JournalSN Computer Science
Volume4
Issue number2
DOIs
StatePublished - 1 Mar 2023

Keywords

  • Benchmark
  • Conceptual framework
  • Context
  • Context-aware systems
  • Modeling
  • Modeling languages
  • UML

ASJC Scopus subject areas

  • Artificial Intelligence
  • General Computer Science
  • Computer Networks and Communications
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design

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