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A survey of Model Driven Engineering in robotics

Journal of Computer Languages, 2021
Abstract Robots are complex to develop due to the diversity of hardware, software components and the absence of common standards. To deal with these problems, Model-Driven Engineering (MDE) is used to systematize the software development. This work aims to provide a comprehensive overview of existing model-based approaches in robotics.
E. Silva   +3 more
semanticscholar   +4 more sources

Model-Driven Prompt Engineering

2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS), 2023
Generative artificial intelligence (AI) systems are capable of synthesizing complex content such as text, source code or images according to the instructions described in a natural language prompt. The quality of the output depends on crafting a suitable
R. Clarisó, Jordi Cabot
semanticscholar   +2 more sources

Model composition in Model Driven Engineering: A systematic literature review

Information and Software Technology, 2020
Context Model Driven Engineering (MDE) aims to alleviate complexity and improve reusability in software development. The development of complex software implies to divide it into independent parts before then assembled.
Anas Abouzahra, A. Sabraoui, K. Afdel
semanticscholar   +3 more sources

Model-driven Engineering for Machine Learning Components: A Systematic Literature Review

Information and Software Technology, 2023
Context: Machine Learning (ML) has become widely adopted as a component in many modern software applications. Due to the large volumes of data available, organizations want to increasingly leverage their data to extract meaningful insights and enhance ...
Hira Naveed   +4 more
semanticscholar   +1 more source

Trends and Insights into the Use of Model-Driven Engineering: A Survey

2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), 2023
Model-Driven Engineering (MDE) has gained popularity as a software engineering approach that promises to improve productivity and software quality. However, its adoption in practice remains limited, and challenges with MDE tools, notations, and methods ...
H. Alfraihi, K. Lano
semanticscholar   +1 more source

The State of Practice in Model-Driven Engineering [PDF]

open access: yesIEEE Software, 2014
Despite lively debate over the past decade on the benefits and drawbacks of model-driven engineering (MDE), there have been few industry-wide studies of MDE in practice. A new study that surveyed 450 MDE practitioners and performed in-depth interviews with 22 more suggests that although MDE might be more widespread than commonly believed, developers ...
Jon Whittle   +2 more
exaly   +2 more sources

A survey on search-based model-driven engineering

Automated Software Engineering, 2017
Ilhem Boussaïd   +2 more
semanticscholar   +3 more sources

Towards Model-Driven Quantum Software Engineering

Workshop on Quantum Software Engineering, 2021
Quantum technologies are emerging. Dedicated languages for programming Quantum machines are emerging as well and already used in different settings. Orthogonal to this development, Model-Driven Engineering (MDE) is explored to ease the development of ...
Felix Gemeinhardt   +2 more
semanticscholar   +1 more source

Model driven process engineering

25th Annual International Computer Software and Applications Conference. COMPSAC 2001, 2002
no ...
Erwan Breton, Jean Bézivin
openaire   +2 more sources

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