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

• Published in: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) pp. 168 - 169
• Main Authors: Burgueno, Loli, Burdusel, Alexandru, Gerard, Sebastien, Wimmer, Manuel
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2019
• Subjects: Artificial Intelligence; MDE; MDE Intelligence
• DOI: 10.1109/MODELS-C.2019.00028

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).