Dealing with Goal Models Complexity using Topological Metrics and Algorithms
Lucía Méndez Tapia, Lidia López , Claudia P. Ayala
Abstract. 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.
