Dealing with goal models complexity using topological metrics and algorithms

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Dealing with goal models complexity using topological metrics and algorithms
Συγγραφείς: Méndez Tapia, Emma Lucía, López Cuesta, Lidia, Ayala Martínez, Claudia Patricia
Συνεισφορές: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
Στοιχεία εκδότη: CEUR-WS.org
Έτος έκδοσης: 2017
Συλλογή: Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Θεματικοί όροι: Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació, Business forecasting--Mathematical models--Computer programs, i* Framework, iStar, Complexity, Metrics, PageRank, Clustering, Previsió dels negocis -- Models matemàtics
Περιγραφή: The 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. ; Peer Reviewed ; Postprint (published version)
Τύπος εγγράφου: conference object
Περιγραφή αρχείου: 6 p.; application/pdf
Γλώσσα: English
Relation: http://ceur-ws.org/Vol-1829/iStar17_paper_3.pdf; https://hdl.handle.net/2117/119981
Διαθεσιμότητα: https://hdl.handle.net/2117/119981
Rights: Open Access
Αριθμός Καταχώρησης: edsbas.6979B76E
Βάση Δεδομένων: BASE
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