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

Amanuel Koshima; Vincent Englebert

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

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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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 language	English
Title of host publication	MODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development
Publisher	SciTePress
Pages	55-66
Number of pages	12
ISBN (Print)	9789897580079
Publication status	Published - 2014
Event	2nd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014 - Lisbon, Portugal Duration: 7 Jan 2014 → 9 Jan 2014

Conference

Conference	2nd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014
Country/Territory	Portugal
City	Lisbon
Period	7/01/14 → 9/01/14

Keywords

Collaborative modeling
Conflict detection
DSML
EMF
Merging

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Collaborative Editing of EMF-Ecore Meta-models and Models Conflict-Conflict Detection Reconciliation and Merging in DiCoMEFSubmitted manuscript, 207 KB

Cite this

@inproceedings{2d77f6dce30845de80eb1d11a778f1fa,

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

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.",

keywords = "Collaborative modeling, Conflict detection, DSML, EMF, Merging",

author = "Amanuel Koshima and Vincent Englebert",

year = "2014",

language = "English",

isbn = "9789897580079",

pages = "55--66",

booktitle = "MODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development",

publisher = "SciTePress",

note = "2nd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014 ; Conference date: 07-01-2014 Through 09-01-2014",

}

Koshima, A & Englebert, V 2014, Collaborative editing of EMF/Ecore meta-models and models conflict detection, reconciliation, and merging in DiCoMEF. in MODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development. SciTePress, pp. 55-66, 2nd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014, Lisbon, Portugal, 7/01/14.

Collaborative editing of EMF/Ecore meta-models and models conflict detection, reconciliation, and merging in DiCoMEF. / Koshima, Amanuel ; Englebert, Vincent.
MODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development. SciTePress, 2014. p. 55-66.

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Collaborative editing of EMF/Ecore meta-models and models conflict detection, reconciliation, and merging in DiCoMEF

AU - Koshima, Amanuel

AU - Englebert, Vincent

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Collaborative modeling

KW - Conflict detection

KW - DSML

KW - EMF

KW - Merging

UR - http://www.scopus.com/inward/record.url?scp=84906909966&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84906909966

SN - 9789897580079

SP - 55

EP - 66

BT - MODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development

PB - SciTePress

T2 - 2nd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014

Y2 - 7 January 2014 through 9 January 2014

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

DiCoMEF: Distributed Collaborative Model Editing Framework

Cite this

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Projects

DiCoMEF: Distributed Collaborative Model Editing Framework

Cite this