Models, More Models, and Then A Lot More

O. Babur; L. Cleophas; M. van den Brand; B. Tekinerdogan; M. Aksit

Models, More Models, and Then A Lot More

O. Babur, L. Cleophas, M. van den Brand, B. Tekinerdogan, M. Aksit

Research output: Contribution to conference › Conference paper › Academic › peer-review

Abstract

With increased adoption of Model-Driven Engineering, the number of related artefacts in use, such as models, greatly increase. To be able to tackle this dimension of scalability in MDE, we propose to treat the artefacts as data, and apply
various techniques ranging from information retrieval to machine learning to analyse and manage them in a scalable and efficient way.

Original language	English
Number of pages	2
Publication status	Published - 2017
Event	Applications and Foundations Conference in - Marburg, Germany Duration: 17 Jul 2017 → 21 Jul 2017

Conference/symposium

Conference/symposium	Applications and Foundations Conference in
Country/Territory	Germany
City	Marburg
Period	17/07/17 → 21/07/17

Access to Document

https://edepot.wur.nl/432687

Cite this

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title = "Models, More Models, and Then A Lot More",

abstract = "With increased adoption of Model-Driven Engineering, the number of related artefacts in use, such as models, greatly increase. To be able to tackle this dimension of scalability in MDE, we propose to treat the artefacts as data, and applyvarious techniques ranging from information retrieval to machine learning to analyse and manage them in a scalable and efficient way.",

author = "O. Babur and L. Cleophas and {van den Brand}, M. and B. Tekinerdogan and M. Aksit",

year = "2017",

language = "English",

note = "Applications and Foundations Conference in ; Conference date: 17-07-2017 Through 21-07-2017",

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TY - CONF

T1 - Models, More Models, and Then A Lot More

AU - Babur, O.

AU - Cleophas, L.

AU - van den Brand, M.

AU - Tekinerdogan, B.

AU - Aksit, M.

PY - 2017

Y1 - 2017

N2 - With increased adoption of Model-Driven Engineering, the number of related artefacts in use, such as models, greatly increase. To be able to tackle this dimension of scalability in MDE, we propose to treat the artefacts as data, and applyvarious techniques ranging from information retrieval to machine learning to analyse and manage them in a scalable and efficient way.

AB - With increased adoption of Model-Driven Engineering, the number of related artefacts in use, such as models, greatly increase. To be able to tackle this dimension of scalability in MDE, we propose to treat the artefacts as data, and applyvarious techniques ranging from information retrieval to machine learning to analyse and manage them in a scalable and efficient way.

M3 - Conference paper

T2 - Applications and Foundations Conference in

Y2 - 17 July 2017 through 21 July 2017

ER -

Models, More Models, and Then A Lot More

Abstract

Conference/symposium

Access to Document

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Cite this