Results 31 to 40 of about 1,785,688 (300)

On the use of large language models in model-driven engineering [PDF]

Journal of Software and Systems Modeling
Model-driven engineering (MDE) has seen significant advancements with the integration of machine learning (ML) and deep learning techniques. Building upon the groundwork of previous investigations, our study provides a concise overview of current large ...
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, P. T. Nguyen, Riccardo Rubei   +4 more
semanticscholar   +1 more source

Grand challenges in model-driven engineering: an analysis of the state of the research

Journal of Software and Systems Modeling, 2020
In 2017 and 2018, two events were held—in Marburg, Germany, and San Vigilio di Marebbe, Italy, respectively—focusing on an analysis of the state of research, state of practice, and state of the art in model-driven engineering (MDE).
A. Bucchiarone, Jordi Cabot, R. Paige, A. Pierantonio   +3 more
semanticscholar   +1 more source

From Model Driven Engineering to Verification Driven Engineering [PDF]

, 2008
The definition and construction of complex computer-based systems require not just software engineering knowledge, but also many other domain-specific techniques to ensure many system’s functional and non-functional properties. Hence, there is a trend to move away from programming languages to models on which one can reason: model-driven engineering ...
Kordon, Fabrice, Hugues, Jérôme, Renault, Xavier   +2 more
openaire   +2 more sources

Controlling Meta-Model Extensibility in Model-Driven Engineering

IEEE Access, 2018
Model-driven engineering (MDE) considers the systematic use of models in software development. A model must be specified through a well-defined modeling language with precise syntax and semantics. In MDE, this syntax is defined by a meta-model.
Santiago Jacome, Juan De Lara
doaj   +1 more source

A Model-Driven Engineering Approach for Monitoring Machine Learning Models

2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), 2021
Once a machine learning (ML) model is produced and used for commercial purposes, it is desirable to continuously monitor it for any potential performance degradation.
Panagiotis Kourouklidis, D. Kolovos, J. Noppen, N. Matragkas   +3 more
semanticscholar   +1 more source

MODELFY: A Model-driven Solution for Decision Making based on Fuzzy Information [PDF]

Journal of Universal Computer Science, 2022
There exist areas, such as the disease prevention or inclement weather protocols, in which the analysis of the information based on strict protocols require a high level of rigor and security.
María Castañeda, Mercedes G. Merayo, Juan Boubeta-Puig, Iván Calvo   +3 more
doaj   +3 more sources

Collaborative Model-Driven Software Engineering: A Systematic Update

ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2021
Current software engineering practices rely on highly heterogeneous and distributed teams working in a collaborative setting. Between 2013–2020, the publication output in the field of collaborative Model-Driven Software Engineering (MDSE) has ...
István Dávid, K. Aslam, Sogol Faridmoayer, I. Malavolta, Eugene Syriani, P. Lago   +5 more
semanticscholar   +1 more source

OCL and Model Driven Engineering [PDF]

, 2005
Precise modeling is essential to the success of the OMG’s Model Driven Architecture initiative. At the modeling level (M1) OCL allows for the precision needed to write executable models. Can OCL be extended to become a full high-level executable language with side-effects?
Bézivin, Jean, Baar, Thomas, Gardner, Tracy, Gogolla, Martin, Hähnle, Reiner, Hussmann, Heinrich, Patrascoiu, Octavian, Schmitt, Peter H., Warmer, Jos   +8 more
openaire   +1 more source

Applying Model-Driven Engineering to Distributed Ledger Deployment

IEEE Access, 2020
Distributed Ledger Technology (DLT) enables data storage in a decentralized manner among collaborating parties. The software architecture of such solutions encompasses models placed in the relevant architectural views.
Tomasz Gorski, Jakub Bednarski
doaj   +1 more source

Model-Driven Engineering for Requirements Analysis [PDF]

11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007), 2007
Requirements engineering (RE) encompasses a set of activities for eliciting, modelling, agreeing, communicating and validating requirements that precisely define the problem domain for a software system. Several tools and methods exist to perform each of these activities, but they mainly remain separate, making it difficult to capture the global ...
Baudry, Benoit, Nebut, Clémentine, Le Traon, Yves   +2 more
openaire   +2 more sources