A Framework for Analyzing Modeling Languages for Context-Aware Systems

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 conte...

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Vydáno v:SN computer science Ročník 4; číslo 2; s. 149
Hlavní autoři: Elyasaf, Achiya, Sturm, Arnon
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.03.2023
Springer Nature B.V
Témata:
Adaptation
Advances on Model-Driven Engineering and Software Development
Computer Imaging
Computer models
Computer Science
Computer Systems Organization and Communication Networks
Context
Data Structures and Information Theory
Information sources
Information Systems and Communication Service
Modelling
Ontology
Original Research
Pattern Recognition and Graphics
Programming languages
Smart houses
Software Engineering/Programming and Operating Systems
Vision
Context
UML
Benchmark
Conceptual framework
Context-aware systems
Modeling
Modeling languages
ISSN:2661-8907, 2662-995X, 2661-8907
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Popis
Shrnutí: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).
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ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-022-01576-1