Detailed Information

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

Feature Modeling with Multi-Software Product Line of IoT Protocols

Full metadata record
DC Field Value Language
dc.contributor.authorAbbas, Asad-
dc.contributor.authorSiddiqui, Isma Farah-
dc.contributor.authorLee, Scott Uk-Jin-
dc.date.accessioned2021-06-22T14:42:25Z-
dc.date.available2021-06-22T14:42:25Z-
dc.date.issued2017-01-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/10551-
dc.description.abstractIoT devices are interconnected in global network with different functionalities and manage the data transfer in cloud computing. IoT devices can be used anytime, anywhere with any device with different applications and protocols. Same devices but different applications according to end user requirements such as sensors and Wi-Fi devices, reusability of these applications can enhance the development process. However, large number of variations in cloud computing make it difficult the features selection in application because of compatibility issues of devices. In this paper we have proposed multi-Software Product Lines (multi-SPLs) approach to manage the variabilities and commonalities of IoT applications and protocols. Feature modeling is used to manage the commonalities and variabilities of SPL. We proposed that multi-SPLs feature model is more appropriate for modeling of IoT applications and protocols.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisher한국컴퓨터정보학회-
dc.titleFeature Modeling with Multi-Software Product Line of IoT Protocols-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국컴퓨터정보학회 동계학술대회 논문집, v.25, no.1, pp 79 - 82-
dc.citation.title한국컴퓨터정보학회 동계학술대회 논문집-
dc.citation.volume25-
dc.citation.number1-
dc.citation.startPage79-
dc.citation.endPage82-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorIoT applications and Protocols-
dc.subject.keywordAuthorSoftware Product Line-
dc.subject.keywordAuthorFeature Model-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07101017-
Files in This Item
Go to Link
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