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Authors: Andreas Ganser and Horst Lichter

Affiliation: RWTH Aachen University, Germany

Keyword(s): Model Completion, Model Recommendation, Model Repository, Model Reuse, MDE, MDD, EMF.

Related Ontology Subjects/Areas/Topics: Domain-Specific Modeling and Domain-Specific Languages ; Frameworks for Model-Driven Development ; Hybrid Multi-Modeling Approaches ; Languages, Tools and Architectures ; MetaModeling ; Methodologies, Processes and Platforms ; Model-Driven Software Development ; Models ; Paradigm Trends ; Software Engineering

Abstract: Reuse has been widely carried out successfully, but not with models in Model Driven Engineering. Reasons seem manifold and conceptual issues and poor tool support are among them. A closer look at the tools available shows that models are often held in repositories which merely exceed versioning and indexing support. But model reuse requires mature approaches and tool support to become successful. We created a solid conceptual foundation and found recommendations as one solution, which in turn need appropriate data. We engineer these data subsequently and explain our design rationales. In a nutshell, we create a knowledge library comprising of elements which are connected on generic, semantic, and syntactic level. This knowledge library forms an enhanced knowledge graph enabling chain recommendations.

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Paper citation in several formats:
Ganser, A. and Lichter, H. (2013). Engineering Model Recommender Foundations - From Class Completion to Model Recommendations. In Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-8565-42-6; ISSN 2184-4348, SciTePress, pages 135-142. DOI: 10.5220/0004320801350142

@conference{modelsward13,
author={Andreas Ganser. and Horst Lichter.},
title={Engineering Model Recommender Foundations - From Class Completion to Model Recommendations},
booktitle={Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2013},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004320801350142},
isbn={978-989-8565-42-6},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - Engineering Model Recommender Foundations - From Class Completion to Model Recommendations
SN - 978-989-8565-42-6
IS - 2184-4348
AU - Ganser, A.
AU - Lichter, H.
PY - 2013
SP - 135
EP - 142
DO - 10.5220/0004320801350142
PB - SciTePress