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Model Driven Engineering

2002
The Object Management Group's (OMG) Model Driven Architecture (MDA) strategy envisages a world where models play a more direct role in software production, being amenable to manipulation and transformation by machine. Model Driven Engineering (MDE) is wider in scope than MDA. MDE combines process and analysis with architecture.
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Model-Driven Software Engineering

2011
Software plays an important role in designing and operating warehouses. However, traditional software engineering methods for designing warehouse software are not able to cope with the complexity, size, and increase of automation in modern warehouses.
Amstel, van, M.F.   +3 more
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From Model-Driven Development to Model-Driven Engineering

19th Euromicro Conference on Real-Time Systems (ECRTS'07), 2007
Summary form only given. The adoption of model-driven methods for software development is rapidly gaining momentum, stimulated greatly by the emergence of new modeling language standards and corresponding tools. The ability of models to highlight the important aspects of a system while abstracting away the irrelevant bits provides a very effective ...
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Scalable model exploration for model-driven engineering

Journal of Systems and Software, 2017
Abstract Model-Driven Engineering (MDE) promotes the use of models to conduct all phases of software development in an automated way. However, for complex systems, these models may become large and unwieldy, and hence difficult to process and comprehend.
Antonio Jiménez-Pastor   +2 more
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Model-driven engineering practices in industry

Proceedings of the 33rd International Conference on Software Engineering, 2011
In this paper, we attempt to address the relative absence of empirical studies of model driven engineering through describing the practices of three commercial organizations as they adopted a model driven engineering approach to their software development.
Hutchinson, John   +2 more
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Engineering Multi-view Models for Model-Driven Engineering

2013 International Symposium on Theoretical Aspects of Software Engineering, 2013
The effectiveness of model-driven engineering relies on our ability to build high quality models. This task is intrinsically difficult. We need to produce sufficiently complete, adequate, consistent, and well-structured models from incomplete, imprecise, and sparse material originating from multiple, often conflicting sources.
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Model Driven Engineering with Ontology Technologies

2010
Ontologies constitute formal models of some aspect of the world that may be used for drawing interesting logical conclusions even for large models. Software models capture relevant characteristics of a software artifact to be developed, yet, most often these software models have limited formal semantics, or the underlying (often graphical) software ...
Steffen Staab   +3 more
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On the Applicability Scope of Model Driven Engineering

Fourth International Workshop on Model-Based Methodologies for Pervasive and Embedded Software (MOMPES'07), 2007
Model driven engineering (MDE) is frequently presented as an important change in software development practices. However behind this new trend, one may recognize a lot of different objectives and solutions. This paper studies the multiple facets of MDE and its evolution in the recent period.
Jean Bézivin   +2 more
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Model-Driven Allocation Engineering (T)

2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2015
Cyber-physical systems (CPSs) provide sophisticated functionality and are controlled by networked electronic control units (ECUs). Nowadays, software engineers use component-based development approaches to develop their software. Moreover, software components have to be allocated to an ECU to be executed. Engineers have to cope with topology-, software-
Uwe Pohlmann, Marcus Hüwe
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Model Driven Engineering

2016
The objective of this chapter is to introduce the fundamental concepts, principles and processes of Model Driven Engineering (MDE). The role of MDE for code generation in simulation software engineering, interoperability, model replicability and computational reproducibility are discussed.
Okan Topçu   +3 more
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