Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Contextual Variability Management of IoT Applications Using Agent-Base Modeling with Software Product Line

Authors
Lee, Scott Uk-JinAbbas, AsadKim, Hyung lakSiddiqui, Isma FarahBashir, Ali Kashif
Issue Date
Aug-2017
Publisher
The Korea Society of Computer Information
Citation
The 2nd International Conference on Computing Convergence and Applications, pp 13 - 16
Pages
4
Indexed
OTHER
Journal Title
The 2nd International Conference on Computing Convergence and Applications
Start Page
13
End Page
16
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9062
Abstract
IoT (Internet of Things) is used to connect the real-world objects that communicate with internet. IoT applications enable to handle and operate the device according to environment requirements such as transport and health care. IoT devices are interconnected with multiple agents that operate as median entity to communicate between internet devices. Agent applications enable the IoT usage within environmental variations i.e. operation of heat sensor varies indoor and outdoor. In this paper, we have proposed modeling of IoT agents and applications by using Software Product Line (SPL) feature modeling. XML-based feature modeling is appropriate to handle the contextual variability within the same domain of applications and increase the reusability of features. We have adopted XML for modeling the IoT application, agents and internet device for contextual variability management.
Files in This Item
There are no files associated with this item.
Appears in
Collections
COLLEGE OF COMPUTING > ERICA 컴퓨터학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Scott Uk Jin photo

Lee, Scott Uk Jin
ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE