Using a Model Merging Language for Reconciling Model Versions

Klaus-D. Engel; Richard F. Paige; Dimitrios S. Kolovos

doi:10.1007/11787044_12

Using a Model Merging Language for Reconciling Model Versions

Klaus-D. Engel, Richard F. Paige, Dimitrios S. Kolovos

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

A difficult challenge in the industrialisation of Model-Driven Development is managing different versions of models. Different versions may arise at any time during the development process, due to different individuals or teams working on different parts of the overall model. To manage these versions it is necessary to be able to identify differences and reconcile these differences in a single, integrated model. We describe the use of model merging technology for managing different versions of a model in an industrial software development process. The use of automated model merging technology is contrasted with an alternative, semi-automated approach. The contributions of model merging to helping to solve this problem are outlined.

Original language	Undefined/Unknown
Pages	143-157
DOIs	https://doi.org/10.1007/11787044_12
Publication status	Published - 2006

Access to Document

10.1007/11787044_12

http://dx.doi.org/10.1007/11787044_12

Cite this

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title = "Using a Model Merging Language for Reconciling Model Versions",

abstract = "A difficult challenge in the industrialisation of Model-Driven Development is managing different versions of models. Different versions may arise at any time during the development process, due to different individuals or teams working on different parts of the overall model. To manage these versions it is necessary to be able to identify differences and reconcile these differences in a single, integrated model. We describe the use of model merging technology for managing different versions of a model in an industrial software development process. The use of automated model merging technology is contrasted with an alternative, semi-automated approach. The contributions of model merging to helping to solve this problem are outlined. ",

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