Enhanced Automation for Managing Model and Metamodel Inconsistency

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Model-Driven Engineering (MDE) introduces additional challenges for managing evolution. For example, a metamodel change may affect instance models. Existing tool supported approaches for updating models in response to a metamodel change assume extra effort from metamodel developers. When no existing approach is applicable, metamodel users must update their models manually, an error prone and tedious task. In this paper, we describe the technical challenges faced when using the Eclipse Modeling Framework (EMF) and existing approaches for updating models in response to a metamodel change. We then motivate and describe alternative techniques, including: a mechanism for loading, storing and mainpulating inconsistent models; a mapping of inconsistent models to a human-usable notation for semi-automated and collaborative co-evolution; and integration with an inter-model reference manager, achieving automatic consistency checking as part of metamodel distribution.
Original languageEnglish
Title of host publication*
Number of pages5
Publication statusPublished - 2009

Publication series

NameAutomated Software Engineering, International Conference on
ISSN (Print)1527-1366

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