Abstract. Model-driven software development aims at easing the process of software development by using models as primary artifacts. Although less complex than the real systems they are based on, models tend to be complex nevertheless, thus making the task of comprehending them non-trivial in many cases. In this paper we propose a technique for model comprehension based on decomposing models into sub-models that conform to the same metamodel as the original model. The main contributions of this paper are: a mathematical description of the structure of these sub-models as a lattice, a linear-time algorithm for constructing this decomposition and finally an application of our decomposition technique to model comprehension.
Kelsen et al. REF propose an approach for decomposing models into sub-models to tame the complexity of large models.
Models within models: taming model complexity using the sub-model lattice
FASE
Computer Science