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Scalable model exploration for model-driven engineering
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DOI：10.1016/j.jss.2017.07.011.png)
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Abstract
En 中文
Model-Driven Engineering (MDE) promotes the use of models to conduct all phases of software development in an automated way. However, for complex systems, these models may become large and unwieldy, and hence difficult to process and comprehend. In order to alleviate this situation, we combine model fragmentation strategies - to split models into more manageable chunks - with model abstraction and visualisation mechanisms, able to provide simpler views of the models. In this paper, we describe the underlying methods and techniques, as well as the supporting tools. The feasibility and benefits of our approach are confirmed based on evaluations in the embedded systems, and the reverse engineering domains, where large benefits in terms of visualisation time (speeds up of up to 55 x), and reduction in memory consumption (reduction of 97%) are obtained. (C) 2017 Elsevier Inc. All rights reserved.
Keywords:
Model-driven engineering
Model scalability
Model fragmentation
Model visualisation
Model abstraction
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