@inbook{67c5e7eb798243a0ac3fa21b4590d615,
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. and B. Tekinerdogan and M. Aksit",
year = "2018",
month = jan,
day = "23",
doi = "10.1007/978-3-319-74730-9\_10",
language = "English",
isbn = "9783319747293",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "129--135",
editor = "Martina Seidl and Steffen Zschaler",
booktitle = "Software Technologies: Applications and Foundations",
address = "Germany",
note = "STAF 2017 ; Conference date: 17-07-2017 Through 21-07-2017",
}