Computer Automated Multi-Paradigm Modeling: An Introduction

Mosterman, Pieter J.; Vangheluwe, Hans

doi:10.1177/0037549704050532

Cited by 131 publications

(60 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Then software modules are split into components and elaborated in more detail. These ideas are transferred to the automotive industry and are called model-based system engineering (MBSE) [5][6][7][8][9]. However, in order to really follow such a structured approach, some new challenges need to be tackled.…”

Section: S/w1 S/w2 S/w3 S/w4mentioning

confidence: 99%

“…This leads to new physical and virtual testing paradigms such as software-in-the-loop, model-in-the-loop and hardware-in-the-loop as cornerstones for integrated intelligent system design engineering. This approach to system design can best be described by the model-based system engineering paradigm, known from the software world and increasingly considered as the way forward in general product design engineering [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual engineering at work: the challenges for designing mechatronic products

Auweraer

Anthonis

Bruyne

et al. 2012

Engineering with Computers

View full text Add to dashboard Cite

The product race has become an innovation race, reconciling challenges of branding, performance, time to market and competitive pricing while complying with ecological, safety and legislation constraints. The answer lies in ''smart'' products of high complexity, relying on heterogeneous technologies and involving active components. To keep pace with this evolution and further accelerate the design cycle, the design engineering process must be rethought. The paper presents a mechatronic simulation approach to achieve this goal. The starting point is the current virtual prototyping paradigm that is widely adopted and that continues to improve in terms of model complexity, accuracy, robustness and automated optimization. Two evolutions are discussed. A first one is the extension to multi-physics simulation answering the design needs of the inherent multi-disciplinarity of ''intelligent'' products. Integration of thermal, hydraulic, mechanical, haptic and electrical functions requires simulation to extend beyond the traditional CAD-FEM approach, supporting the use of system, functional and perception models. The second evolution is the integration of control functions in the products. Where current industrial practice treats mechanical system design and control design as different design loops, this paper discusses their integration in a modelbased design process at all design stages, turning concepts such as software-in-the-loop and hardware-in-the-loop into basic elements of an industrial design approach. These concepts are illustrated by a number of automotive design engineering cases, which demonstrate that the combined use of perception, geometric and system models allows to develop innovative solutions for the active safety, lowemission and high-comfort performance of next-generation vehicles. This process in turn poses new challenges to the design in terms of the specification and validation of such innovative products, including their failure modes and fault-tolerant behaviour. This will imply adopting a modelbased system engineering approach that is currently already common practice in software engineering.

show abstract

Section: S/w1 S/w2 S/w3 S/w4mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Virtual engineering at work: the challenges for designing mechatronic products

Auweraer

Anthonis

Bruyne

et al. 2012

Engineering with Computers

View full text Add to dashboard Cite

show abstract

“…Abstraction has been recognized as one of the key techniques for the model-based engineering of software and systems in the field of multi-paradigm modelling [6]. However, to our knowledge, there are no works aimed at systematizing and providing a framework to reuse abstractions for DSMLs in MDE.…”

Section: Related Workmentioning

confidence: 99%

Abstracting Modelling Languages: A Reutilization Approach

Lara

Guerra

Cuadrado

2012

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

View full text Add to dashboard Cite

Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: Abstract. Model-Driven Engineering automates the development of information systems. This approach is based on the use of Domain-Specific Modelling Languages (DSMLs) for the description of the relevant aspects of the systems to be built. The increasing complexity of the target systems has raised the need for abstraction techniques able to produce simpler versions of the models, but retaining certain properties of interest. However, developing such abstractions for each DSML from scratch is a time and resource consuming activity. Our solution to this situation is a number of techniques to build reusable abstractions that are defined once and can be reused over families of modelling languages sharing certain requirements. As a proof of concept, we present a catalogue of reusable abstractions, together with an implementation in the MetaDepth multi-level meta-modelling tool.

show abstract

“…The emerging research field of Computer Automated Multiparadigm Modeling (CAMPaM) [13] is trying to combine together the notions of multiformalism modeling and metamodeling. These modeling methodologies allow to face some of the modeling problems of complex, heterogeneous sytems by coupling each modeling aspect with the best suitable formalism.…”

Section: Related Workmentioning

confidence: 99%

Multisolution of complex performability models in the OsMoSys/DrawNET framework

Marco

Mazzocca²,

Francesco³

et al. 2005

Second International Conference on the Quantitative Evaluation of Systems (QEST'05)

View full text Add to dashboard Cite

Abstract-In the last years some infrastructures and frameworks have been proposed to enable the compositional development of multiformalism models. This effort requires proper techniques and tools to guarantee generality and flexibility when combining multiple solvers and results obtained from the analysis of such models. The OsMoSys/DrawNET framework allows to develop and analyze complex performability models which are composed by several submodels expressed by means of different formal languages. In this paper we describe the approach to multisolution of multiformalism models in the OsMoSys/DrawNET framework and we introduce the mechanisms used to define the performance indices and generate the required results.A raid system is used to exemplify the solution process of a performability model from its creation to the analysis and the presentation of the results to the final user.

show abstract

Computer Automated Multi-Paradigm Modeling: An Introduction

Cited by 131 publications

References 45 publications

Virtual engineering at work: the challenges for designing mechatronic products

Virtual engineering at work: the challenges for designing mechatronic products

Abstracting Modelling Languages: A Reutilization Approach

Multisolution of complex performability models in the OsMoSys/DrawNET framework

Contact Info

Product

Resources

About