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Model-driven engineering practices in industry
Proceedings of the 33rd International Conference on Software Engineering, 2011In 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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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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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
openaire +1 more source
Model-driven visual requirements engineering
13th IEEE International Conference on Requirements Engineering (RE'05), 2005This paper describes the requirements handling process of a set of research projects, the ATHENA IP, and how this process is supported by modeling and visualizing requirement structures. First, users and external stakeholders register requirements through easy-to-use Web interfaces.
Helge Grenager Solheim +4 more
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Textual Views in Model Driven Engineering
2009 35th Euromicro Conference on Software Engineering and Advanced Applications, 2009Building views on abstract models is one of the key concepts of model-driven engineering. Different views help to present concepts behind a model in a way that they can be understood and edited by different stakeholders or developers in different roles.
Thomas Goldschmidt +2 more
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Model Driven Engineering with Ontology Technologies
2010Ontologies 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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Model Patches in Model-Driven Engineering
2010Increasingly, recording the various kinds of design-level structural evolution that a system undergoes throughout its entire life-cycle is gaining relevance in software modeling and development. In this respect, an interesting and useful operation between subsequent system versions is model difference consisting in calculation, representation, and ...
Antonio Cicchetti +2 more
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Coupled Evolution in Model-Driven Engineering
IEEE Software, 2012Model-driven engineering bases a wide range of artifacts on metamodels. When such metamodels evolve, such as a new version of Unified Modeling Language or Business Process Execution Notation or a company-specific metamodel, underlying artifacts often become invalid. In this article, the authors provide an overview of coupled evolution methods and tools
Davide Di Ruscio +2 more
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Experiences with Model-Driven Engineering in Neurorobotics
2016Model-driven engineering MDE has been successfully adopted in domains such as automation or embedded systems. However, in many other domains, MDE is rarely applied. In this paper, we describe our experiences of applying MDE techniques in the domain of neurorobotics --- a combination of neuroscience and robotics, studying the embodiment of autonomous ...
Georg Hinkel +3 more
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Model-Driven Prompt Engineering
2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS), 2023Robert Clarisó, Jordi Cabot
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Cost Estimation for Model-Driven Engineering
2012Cost estimation studies in model-driven engineering (MDE) are scarce; first, due to difficulty in quantifying qualitative characteristics of MDE that supposedly influence software development effort and second, due to the complexity of measuring varied artifacts that are generated and used in an end-to-end MDE toolset.
Sagar Sunkle, Vinay Kulkarni 0001
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