Contextual Variability Management of IoT Applications Using Agent-Base Modeling with Software Product Line
- Authors
- Lee, Scott Uk-Jin; Abbas, Asad; Kim, Hyung lak; Siddiqui, Isma Farah; Bashir, 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.
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Collections - COLLEGE OF COMPUTING > ERICA 컴퓨터학부 > 1. Journal Articles

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