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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorSagardui, Goiuria
dc.contributor.otherMurguzur Ibarguren, Aitor
dc.contributor.otherde Carlos, Xabier
dc.contributor.otherTrujillo, Salvador
dc.date.accessioned2022-10-31T09:38:45Z
dc.date.available2022-10-31T09:38:45Z
dc.date.issued2014
dc.identifier.isbn9789897580659en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=107799en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5784
dc.description.abstractCloud service-based applications are to be adapted to serve multiple platforms and stakeholders. Atop of such services, Smart Green Buildings are fostering a plethora of processes within their sustainability life-cycle. This introduces a number of challenges, as how to support multiple perspectives of domain-specific variability and how to deal with large collections of related process variants. To tackle this, there is a need to handle multiperspective variability for processes. This paper introduces an approach to manage multi-perspective process variability by means of a meta-model and a modeling methodology, representing separately people and things variability perspectives in smart environments. Initial experimental results are also described, which indicate encouraging results for managing highly complex variability models.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2014 SCITEPRESSen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectVariability Modelingen
dc.subjectProcess Configurationen
dc.subjectSmart Buildingsen
dc.titleOn the support of multi-perspective process models variability for smart environmentsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.source2nd International Conference on Model-Driven Engineering and Software Development (MODELSWARD)en
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.description.publicationfirstpage549en
local.description.publicationlastpage554en
local.identifier.doihttps://doi.org/10.5220/0004758205490554en
local.contributor.otherinstitutionhttps://ror.org/03hp1m080es
local.source.detailsLisbon. 7-9 January. Pp. 549-554. IEEE, 2014en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Attribution-NonCommercial-NoDerivatives 4.0 International
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