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dc.contributor.authorMéndez Tapia, Emma Lucía
dc.contributor.authorLópez Cuesta, Lidia
dc.contributor.authorAyala Martínez, Claudia Patricia
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2018-07-26T06:53:44Z
dc.date.available2018-07-26T06:53:44Z
dc.date.issued2017
dc.identifier.citationMéndez, L., López, L., Ayala, C.P. Dealing with goal models complexity using topological metrics and algorithms. A: International i* Workshop. "iStar 2017: Proceedings of the 10th International i* Workshop co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017): Essen, Germany, June 12-13, 2017". CEUR-WS.org, 2017, p. 43-48.
dc.identifier.isbn1613-0073 (ISSN)
dc.identifier.urihttp://hdl.handle.net/2117/119981
dc.description.abstractThe inherent complexity of business goal-models is a challenge for organizations that has to analyze and maintaining them. Several approaches are developed to reduce the complexity into manageable limits, either by providing support to the modularization or designing metrics to monitor the complexity levels. These approaches are designed to identify an unusual complexity comparing it among models. In the present work, we expose two approaches based on structural characteristics of goal-model, which do not require these comparisons. The first one ranksthe importance of goalsto identify a manageable set of them that can be considered as a priority; the second one modularizes the model to reduce the effort to understand, analyze and maintain the model.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherCEUR-WS.org
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshBusiness forecasting--Mathematical models--Computer programs
dc.subject.other: i* Framework
dc.subject.otheriStar
dc.subject.otherComplexity
dc.subject.otherMetrics
dc.subject.otherPageRank
dc.subject.otherClustering
dc.titleDealing with goal models complexity using topological metrics and algorithms
dc.typeConference report
dc.subject.lemacPrevisió dels negocis -- Models matemàtics
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ceur-ws.org/Vol-1829/iStar17_paper_3.pdf
dc.rights.accessOpen Access
local.identifier.drac23243109
dc.description.versionPostprint (published version)
local.citation.authorMéndez, L.; López, L.; Ayala, C.P.
local.citation.contributorInternational i* Workshop
local.citation.publicationNameiStar 2017: Proceedings of the 10th International i* Workshop co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017): Essen, Germany, June 12-13, 2017
local.citation.startingPage43
local.citation.endingPage48


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