engleski

xtUML model complexity metrics and the influence of their distribution on model understandability

In this thesis, we investigate the influence of distribution of model complexity on the understandability of Executable Translatable UML(xtUML) models. We adapted several metrics traditionally used for measuring software complexity to different xtUML sub-models and presented two different dimensions of measuring complexity distribution: horizontally, among elements of the same abstraction level, and vertically, among different abstraction levels. In order to test our hypothesis that complexity distribution influences the understandability of xtUML models, we have performed an experiment with student participants in which we have evaluated the understandability of three semantically equivalent xtUML models with different complexity distributions. Results indicate that a more uniform distribution of complexity has a positive influence on model understandability.

executable software model, xtUML, complexity, metric, distribution, understandability

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