<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/xsl'?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-30T16:28:12Z</responseDate><request verb="GetRecord" identifier="oai:ebiltegia.mondragon.edu:20.500.11984/5784" metadataPrefix="rdf">https://ebiltegia.mondragon.edu/oai/request</request><GetRecord><record><header><identifier>oai:ebiltegia.mondragon.edu:20.500.11984/5784</identifier><datestamp>2024-03-04T09:39:19Z</datestamp><setSpec>com_20.500.11984_1143</setSpec><setSpec>col_20.500.11984_1148</setSpec></header><metadata><rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
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      <dc:title>On the support of multi-perspective process models variability for smart environments</dc:title>
      <dc:creator>Sagardui, Goiuria</dc:creator>
      <dc:contributor>Murguzur Ibarguren, Aitor</dc:contributor>
      <dc:contributor>de Carlos, Xabier</dc:contributor>
      <dc:contributor>Trujillo, Salvador</dc:contributor>
      <dc:subject>Variability Modeling</dc:subject>
      <dc:subject>Process Configuration</dc:subject>
      <dc:subject>Smart Buildings</dc:subject>
      <dc:description>Cloud 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.</dc:description>
      <dc:date>2022-10-31T09:38:45Z</dc:date>
      <dc:date>2022-10-31T09:38:45Z</dc:date>
      <dc:date>2014</dc:date>
      <dc:type>http://purl.org/coar/resource_type/c_c94f</dc:type>
      <dc:identifier>9789897580659</dc:identifier>
      <dc:identifier>https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&amp;ficha_no=107799</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.11984/5784</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>© 2014 SCITEPRESS</dc:rights>
      <dc:publisher>IEEE</dc:publisher>
   </ow:Publication>
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