Dealing with goal models complexity using topological metrics and algorithms
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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.
CitacióMéndez, 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.
Versió de l'editorhttp://ceur-ws.org/Vol-1829/iStar17_paper_3.pdf