Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering

Loli Burgueno; Alexandru Burdusel; Manuel Wimmer

doi:10.1109/MODELS-C.2019.00028

Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering

Loli Burgueno, Alexandru Burdusel, Manuel Wimmer

Institute of Business Informatics - Software Engineering

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

Abstract

Model-driven engineering (MDE) and Artificial Intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-fertilization and collaboration. There are at least two ways in which such integrations – which we call MDE Intelligence – can manifest: (1) MDE can benefit from integrating AI concepts and ideas to increasing the power and flexibility of model-driven techniques by means of the application of AI algorithms. (2) Conversely, AI can benefit from integrating concepts and ideas from MDE—for example, using domain-specific languages and model transformations allows domain experts to directly express and manipulate their problems while providing an auditable computation pipeline. To discuss and further stimulate such integrations, the 1st edition of the Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence) was held on September 16, 2019 in Munich, Germany, as part of the satellite events of the IEEE/ACM 22th International Conference on Model-Driven Engineering Languages and Systems (MODELS 2019).

Original language	English
Title of host publication	ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, September 15-20, 2019
Editors	Loli Burgueno, Loli Burgueno, Alexander Pretschner, Sebastian Voss, Michel Chaudron, Jorg Kienzle, Markus Volter, Sebastien Gerard, Mansooreh Zahedi, Erwan Bousse, Arend Rensink, Fiona Polack, Gregor Engels, Gerti Kappel
Pages	168-169
Number of pages	3
ISBN (Electronic)	9781728151250
DOIs	https://doi.org/10.1109/MODELS-C.2019.00028
Publication status	Published - Sept 2019

Fields of science

202005 Computer architecture
202017 Embedded systems
102 Computer Sciences
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102020 Medical informatics
102022 Software development
102034 Cyber-physical systems
201132 Computational engineering
201305 Traffic engineering
207409 Navigation systems
502032 Quality management
502050 Business informatics

JKU Focus areas

Digital Transformation

Access to Document

10.1109/MODELS-C.2019.00028

Cite this

Burgueno, L., Burdusel, A., & Wimmer, M. (2019). Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering. In L. Burgueno, L. Burgueno, A. Pretschner, S. Voss, M. Chaudron, J. Kienzle, M. Volter, S. Gerard, M. Zahedi, E. Bousse, A. Rensink, F. Polack, G. Engels, & G. Kappel (Eds.), ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, September 15-20, 2019 (pp. 168-169). Article 8904820 https://doi.org/10.1109/MODELS-C.2019.00028

Burgueno, Loli ; Burdusel, Alexandru ; Wimmer, Manuel. / Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering. ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, September 15-20, 2019. editor / Loli Burgueno ; Loli Burgueno ; Alexander Pretschner ; Sebastian Voss ; Michel Chaudron ; Jorg Kienzle ; Markus Volter ; Sebastien Gerard ; Mansooreh Zahedi ; Erwan Bousse ; Arend Rensink ; Fiona Polack ; Gregor Engels ; Gerti Kappel. 2019. pp. 168-169

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title = "Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering",

abstract = "Model-driven engineering (MDE) and Artificial Intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-fertilization and collaboration. There are at least two ways in which such integrations – which we call MDE Intelligence – can manifest: (1) MDE can benefit from integrating AI concepts and ideas to increasing the power and flexibility of model-driven techniques by means of the application of AI algorithms. (2) Conversely, AI can benefit from integrating concepts and ideas from MDE—for example, using domain-specific languages and model transformations allows domain experts to directly express and manipulate their problems while providing an auditable computation pipeline. To discuss and further stimulate such integrations, the 1st edition of the Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence) was held on September 16, 2019 in Munich, Germany, as part of the satellite events of the IEEE/ACM 22th International Conference on Model-Driven Engineering Languages and Systems (MODELS 2019).",

author = "Loli Burgueno and Alexandru Burdusel and Manuel Wimmer",

year = "2019",

month = sep,

doi = "10.1109/MODELS-C.2019.00028",

language = "English",

pages = "168--169",

editor = "Loli Burgueno and Loli Burgueno and Alexander Pretschner and Sebastian Voss and Michel Chaudron and Jorg Kienzle and Markus Volter and Sebastien Gerard and Mansooreh Zahedi and Erwan Bousse and Arend Rensink and Fiona Polack and Gregor Engels and Gerti Kappel",

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Burgueno, L, Burdusel, A & Wimmer, M 2019, Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering. in L Burgueno, L Burgueno, A Pretschner, S Voss, M Chaudron, J Kienzle, M Volter, S Gerard, M Zahedi, E Bousse, A Rensink, F Polack, G Engels & G Kappel (eds), ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, September 15-20, 2019., 8904820, pp. 168-169. https://doi.org/10.1109/MODELS-C.2019.00028

Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering. / Burgueno, Loli; Burdusel, Alexandru; Wimmer, Manuel.
ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, September 15-20, 2019. ed. / Loli Burgueno; Loli Burgueno; Alexander Pretschner; Sebastian Voss; Michel Chaudron; Jorg Kienzle; Markus Volter; Sebastien Gerard; Mansooreh Zahedi; Erwan Bousse; Arend Rensink; Fiona Polack; Gregor Engels; Gerti Kappel. 2019. p. 168-169 8904820.

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

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AU - Burgueno, Loli

AU - Burdusel, Alexandru

AU - Wimmer, Manuel

PY - 2019/9

Y1 - 2019/9

N2 - Model-driven engineering (MDE) and Artificial Intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-fertilization and collaboration. There are at least two ways in which such integrations – which we call MDE Intelligence – can manifest: (1) MDE can benefit from integrating AI concepts and ideas to increasing the power and flexibility of model-driven techniques by means of the application of AI algorithms. (2) Conversely, AI can benefit from integrating concepts and ideas from MDE—for example, using domain-specific languages and model transformations allows domain experts to directly express and manipulate their problems while providing an auditable computation pipeline. To discuss and further stimulate such integrations, the 1st edition of the Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence) was held on September 16, 2019 in Munich, Germany, as part of the satellite events of the IEEE/ACM 22th International Conference on Model-Driven Engineering Languages and Systems (MODELS 2019).

AB - Model-driven engineering (MDE) and Artificial Intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-fertilization and collaboration. There are at least two ways in which such integrations – which we call MDE Intelligence – can manifest: (1) MDE can benefit from integrating AI concepts and ideas to increasing the power and flexibility of model-driven techniques by means of the application of AI algorithms. (2) Conversely, AI can benefit from integrating concepts and ideas from MDE—for example, using domain-specific languages and model transformations allows domain experts to directly express and manipulate their problems while providing an auditable computation pipeline. To discuss and further stimulate such integrations, the 1st edition of the Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence) was held on September 16, 2019 in Munich, Germany, as part of the satellite events of the IEEE/ACM 22th International Conference on Model-Driven Engineering Languages and Systems (MODELS 2019).

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A2 - Chaudron, Michel

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A2 - Volter, Markus

A2 - Gerard, Sebastien

A2 - Zahedi, Mansooreh

A2 - Bousse, Erwan

A2 - Rensink, Arend

A2 - Polack, Fiona

A2 - Engels, Gregor

A2 - Kappel, Gerti

ER -

Burgueno L, Burdusel A, Wimmer M. Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering. In Burgueno L, Burgueno L, Pretschner A, Voss S, Chaudron M, Kienzle J, Volter M, Gerard S, Zahedi M, Bousse E, Rensink A, Polack F, Engels G, Kappel G, editors, ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, September 15-20, 2019. 2019. p. 168-169. 8904820 doi: 10.1109/MODELS-C.2019.00028

Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering

Abstract

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