TY - GEN
T1 - Modeling Context-aware Systems
T2 - A Conceptualized Framework.
AU - Elyasaf, Achiya
AU - Sturm, Arnon
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2022
Y1 - 2022
N2 - 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. To cope with this new situation, mechanisms for managing context were devised, including frameworks and programming languages. However, modeling languages that address the notion of context are rare. In this paper, we aim at framing and further defining 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 CO-LSC, a context-oriented modeling language
AB - 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. To cope with this new situation, mechanisms for managing context were devised, including frameworks and programming languages. However, modeling languages that address the notion of context are rare. In this paper, we aim at framing and further defining 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 CO-LSC, a context-oriented modeling language
U2 - 10.5220/0010818200003119
DO - 10.5220/0010818200003119
M3 - Conference contribution
SP - 26
EP - 35
BT - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2022)
ER -