Bridging MDE and AI: a systematic review of domain-specific languages and model-driven practices in AI software systems engineering
Technical systems are becoming increasingly complex due to the increasing number of
components, functions, and involvement of different disciplines. In this regard, model-driven …
components, functions, and involvement of different disciplines. In this regard, model-driven …
Positioning of the low-code movement within the field of model-driven engineering
J Cabot - Proceedings of the 23rd ACM/IEEE International …, 2020 - dl.acm.org
Low-code is being promoted as the key infrastructure for the digital transformation of our
society. But is there something fundamentally new behind the low-code movement? How …
society. But is there something fundamentally new behind the low-code movement? How …
Towards model-driven digital twin engineering: Current opportunities and future challenges
Digital Twins have emerged since the beginning of this millennium to better support the
management of systems based on (real-time) data collected in different parts of the …
management of systems based on (real-time) data collected in different parts of the …
How consistency is handled in model-driven software engineering and UML: an expert opinion survey
Abstract Model-driven software engineering (MDSE) is an established approach for
develo** complex software systems. The unified modelling language (UML) is one of the …
develo** complex software systems. The unified modelling language (UML) is one of the …
What is the future of modeling?
Modeling languages and frameworks have been the key technology for advancing model-
driven engineering (MDE) methods and tools. Many industrial and research tools have been …
driven engineering (MDE) methods and tools. Many industrial and research tools have been …
DevopsML: Towards modeling devops processes and platforms
DevOps and Model Driven Engineering (MDE) provide differently skilled IT stakeholders
with methodologies and tools for organizing and automating continuous software …
with methodologies and tools for organizing and automating continuous software …
A generic LSTM neural network architecture to infer heterogeneous model transformations
Abstract Models capture relevant properties of systems. During the models' life-cycle, they
are subjected to manipulations with different goals such as managing software evolution …
are subjected to manipulations with different goals such as managing software evolution …
On the use of large language models in model-driven engineering
Abstract Model-driven engineering (MDE) has seen significant advancements with the
integration of machine learning (ML) and deep learning techniques. Building upon the …
integration of machine learning (ML) and deep learning techniques. Building upon the …
Modeling should be an independent scientific discipline
Software modeling started as a paradigm to help developers build better software faster by
enabling them to specify, reason and manipulate software systems at a higher-abstraction …
enabling them to specify, reason and manipulate software systems at a higher-abstraction …
[PDF][PDF] Language Composition via Kind-Typed Symbol Tables.
The modularization of domain-specific modeling languages (DSMLs) fosters individual
reuse of DSMLs in different contexts. Within this article, we discuss how it is possible to refer …
reuse of DSMLs in different contexts. Within this article, we discuss how it is possible to refer …