Collaborative editing of EMF/Ecore meta-models and models conflict detection, reconciliation, and merging in DiCoMEF

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Abstract

Despite the fact that Domain Specific Modeling tools become very powerful and more frequently used, the support for their cooperation has not reached its full strength and demand for model management is growing. In cooperative work, the decision agents are semi-autonomous and therefore a solution for reconciliating DSM after a concurrent evolution is needed. Conflict detection and reconciliation are important steps for merging of concurrently evolved (meta)models in order to ensure collaboration. In this work, we present a conflict detection, reconciliation and merging framework for concurrently evolved meta-models and models. Besides, we formally specify the EMF Ecore meta-model into set constructs that help to analyze the (meta)model and operations performed on it.

Original languageEnglish
Title of host publicationMODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development
PublisherSciTePress
Pages55-66
Number of pages12
ISBN (Print)9789897580079
Publication statusPublished - 2014
Event2nd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014 - Lisbon, Portugal
Duration: 7 Jan 20149 Jan 2014

Conference

Conference2nd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014
CountryPortugal
CityLisbon
Period7/01/149/01/14

Keywords

  • Collaborative modeling
  • Conflict detection
  • DSML
  • EMF
  • Merging

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