Models, more models, and then a lot more

Ö. Babur; L. Cleophas; M.G.J. van den Brand; B. Tekinerdogan; M. Aksit

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

Models, more models, and then a lot more

Ö. Babur, L. Cleophas, M.G.J. van den Brand, B. Tekinerdogan, M. Aksit

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

9 Citations (Scopus)

1 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, Marburg, Germany, July 17-21, 2017: revised selected papers
Editors	M. Seidl, S. Zschaler
Place of Publication	Cham
Publisher	Springer
Pages	129-135
Number of pages	7
ISBN (Print)	978-3-319-74729-3
DOIs	https://doi.org/10.1007/978-3-319-74730-9_10
Publication status	Published - 2018
Event	2017 International conference on Software Technologies: Applications and Foundations (STAF 2017) - 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	2017 International conference on 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. G. J., Tekinerdogan, B., & Aksit, M. (2018). Models, more models, and then a lot more. In M. Seidl, & S. Zschaler (Eds.), Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Marburg, Germany, July 17-21, 2017: 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, Ö. ; Cleophas, L. ; van den Brand, M.G.J. et al. / Models, more models, and then a lot more. Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Marburg, Germany, July 17-21, 2017: revised selected papers. editor / M. Seidl ; S. Zschaler. Cham : Springer, 2018. pp. 129-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{12a56abd193c458e937908201ebd580e,

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, 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.",

keywords = "Data mining, Machine learning, Model analytics, Model-Driven Engineering, Scalability",

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

year = "2018",

doi = "10.1007/978-3-319-74730-9_10",

language = "English",

isbn = "978-3-319-74729-3",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "129--135",

editor = "M. Seidl and S. Zschaler",

booktitle = "Software Technologies",

address = "Germany",

note = "2017 International conference on Software Technologies: Applications and Foundations (STAF 2017), STAF 2017 ; Conference date: 17-07-2017 Through 21-07-2017",

url = "http://www.informatik.uni-marburg.de/staf2017/",

}

Babur, Ö , Cleophas, L , van den Brand, MGJ, Tekinerdogan, B & Aksit, M 2018, Models, more models, and then a lot more. in M Seidl & S Zschaler (eds), Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Marburg, Germany, July 17-21, 2017: revised selected papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10748 LNCS, Springer, Cham, pp. 129-135, 2017 International conference on 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, Ö.; Cleophas, L.; van den Brand, M.G.J. et al.

Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Marburg, Germany, July 17-21, 2017: revised selected papers. ed. / M. Seidl; S. Zschaler. Cham : 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

TY - GEN

T1 - Models, more models, and then a lot more

AU - Babur, Ö.

AU - Cleophas, L.

AU - van den Brand, M.G.J.

AU - Tekinerdogan, B.

AU - Aksit, M.

PY - 2018

Y1 - 2018

N2 - 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.

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.

KW - Data mining

KW - Machine learning

KW - Model analytics

KW - Model-Driven Engineering

KW - Scalability

UR - http://www.scopus.com/inward/record.url?scp=85042682091&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-74730-9_10

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

M3 - Conference contribution

AN - SCOPUS:85042682091

SN - 978-3-319-74729-3

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 129

EP - 135

BT - Software Technologies

A2 - Seidl, M.

A2 - Zschaler, S.

PB - Springer

CY - Cham

T2 - 2017 International conference on Software Technologies: Applications and Foundations (STAF 2017)

Y2 - 17 July 2017 through 21 July 2017

ER -

Babur Ö , Cleophas L , van den Brand MGJ, Tekinerdogan B, Aksit M. Models, more models, and then a lot more. In Seidl M, Zschaler S, editors, Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Marburg, Germany, July 17-21, 2017: revised selected papers. Cham: 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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this