Models, More Models, and Then a Lot More

Önder Babur; Loek Cleophas; Mark van den Brand; Bedir Tekinerdogan; Mehmet Aksit

doi:10.1007/978-3-319-74730-9_10

Models, More Models, and Then a Lot More

Önder Babur^*, Loek Cleophas, Mark van den Brand, Bedir Tekinerdogan, Mehmet Aksit

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

5 Downloads (Pure)

Abstract

With increased adoption of Model-Driven Engineering, the number of related artefacts in use, such as models, metamodels and transformations, greatly increases. To confirm this, we present quantitative evidence from both academia — in terms of repositories and datasets — and industry — in terms of large domain-specific language ecosystems. 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 those artefacts in a holistic, scalable and efficient way.

Original language	English
Title of host publication	Software Technologies
Subtitle of host publication	Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers
Editors	Steffen Zschaler, Martina Seidl
Publisher	Springer
Pages	129-135
Number of pages	7
ISBN (Print)	9783319747293
DOIs	https://doi.org/10.1007/978-3-319-74730-9_10
Publication status	Published - 2018
Event	Software Technologies: Applications and Foundations, STAF 2017 - Technologie- und Tagungszentrum Marburg (TTZ), Marburg, Germany Duration: 17 Jul 2017 → 21 Jul 2017 http://www.informatik.uni-marburg.de/staf2017/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10748 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Software Technologies: Applications and Foundations, STAF 2017
Abbreviated title	STAF 2017
Country/Territory	Germany
City	Marburg
Period	17/07/17 → 21/07/17
Internet address	http://www.informatik.uni-marburg.de/staf2017/

Keywords

Data mining
Machine learning
Model analytics
Model-Driven Engineering
Scalability

Access to Document

10.1007/978-3-319-74730-9_10

Cite this

Babur, Ö., Cleophas, L., van den Brand, M., Tekinerdogan, B., & Aksit, M. (2018). Models, More Models, and Then a Lot More. In S. Zschaler, & M. Seidl (Eds.), Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers (pp. 129-135). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10748 LNCS). Springer. https://doi.org/10.1007/978-3-319-74730-9_10

Babur, Önder ; Cleophas, Loek ; van den Brand, Mark et al. / Models, More Models, and Then a Lot More. Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. editor / Steffen Zschaler ; Martina Seidl. Springer, 2018. pp. 129-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "With increased adoption of Model-Driven Engineering, the number of related artefacts in use, such as models, metamodels and transformations, greatly increases. To confirm this, we present quantitative evidence from both academia — in terms of repositories and datasets — and industry — in terms of large domain-specific language ecosystems. 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 those artefacts in a holistic, scalable and efficient way.",

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author = "{\"O}nder Babur and Loek Cleophas and {van den Brand}, Mark and Bedir Tekinerdogan and Mehmet Aksit",

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booktitle = "Software Technologies",

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Babur, Ö, Cleophas, L, van den Brand, M, Tekinerdogan, B & Aksit, M 2018, Models, More Models, and Then a Lot More. in S Zschaler & M Seidl (eds), Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10748 LNCS, Springer, pp. 129-135, Software Technologies: Applications and Foundations, STAF 2017, Marburg, Germany, 17/07/17. https://doi.org/10.1007/978-3-319-74730-9_10

Models, More Models, and Then a Lot More. / Babur, Önder; Cleophas, Loek; van den Brand, Mark et al.
Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. ed. / Steffen Zschaler; Martina Seidl. Springer, 2018. p. 129-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10748 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2018

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AB - With increased adoption of Model-Driven Engineering, the number of related artefacts in use, such as models, metamodels and transformations, greatly increases. To confirm this, we present quantitative evidence from both academia — in terms of repositories and datasets — and industry — in terms of large domain-specific language ecosystems. 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 those artefacts in a holistic, scalable and efficient way.

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KW - Machine learning

KW - Model analytics

KW - Model-Driven Engineering

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Babur Ö, Cleophas L, van den Brand M, Tekinerdogan B, Aksit M. Models, More Models, and Then a Lot More. In Zschaler S, Seidl M, editors, Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. Springer. 2018. p. 129-135. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-74730-9_10

Models, More Models, and Then a Lot More

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Keywords

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