2021
DOI: 10.1109/jsyst.2020.3027195
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Structure-Behavior Coalescence Abstract State Machine for Metamodel-Based Language in Model-Driven Engineering

Abstract: In model-driven engineering (MDE), the unified modeling language (UML) 2.0 metamodel solution includes a metamodel that defines the language concepts and a user model that defines how the language concepts are represented. In UML 2.0, an important usage of metamodel is to ensure model consistency between different diagrams in the user model. However, most existing UML metamodels lack an integrated semantic framework to project each diagram in the user model as a view of the metamodel. To overcome the shortcomi… Show more

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Cited by 6 publications
(2 citation statements)
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“…A more detailed discussion of the situations where state machines are preferable to other behavioral diagrams can be found in [40]. Recent studies have achieved significantly better results in various contexts with the use of state diagrams, see for example [41], [42]. A wide number of approaches such as [21,[43][44][45] provide implementation of state diagrams in object-oriented way, i.e., in a WTG setting.…”
Section: Related Workmentioning
confidence: 99%
“…A more detailed discussion of the situations where state machines are preferable to other behavioral diagrams can be found in [40]. Recent studies have achieved significantly better results in various contexts with the use of state diagrams, see for example [41], [42]. A wide number of approaches such as [21,[43][44][45] provide implementation of state diagrams in object-oriented way, i.e., in a WTG setting.…”
Section: Related Workmentioning
confidence: 99%
“…To realize the integrated management of product lifecycle data, Liu et al [42] proposed a unified product data management model based on metamodel technology. To ensure the UML 2.0 model consistency, Ma et al [43] constructed an integrated semantic framework based on the metamodel method. With the increasing amount of information, the process of transforming tacit knowledge into explicit knowledge in the healthcare domain is facing different challenges.…”
Section: Introductionmentioning
confidence: 99%