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An integrated framework for model-driven design and development using Modelica
Linköpings universitet, Institutionen för datavetenskap. (PELAB)
Linköpings universitet, Institutionen för datavetenskap. (PELAB)
Linköpings universitet, Institutionen för datavetenskap. (PELAB)ORCID-id: 0000-0002-3435-4996
2004 (Engelska)Ingår i: Proceedings of SIMS 2004 the 45th International Conference of Scandinavian Simulation Society / [ed] Brian Elmegaard, Jon Sporring, Kenny Erleben, Kim Sørensen, 2004, s. 405-412Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This paper presents recent work in the area of model-driven product development processes. The focus is on the integration of product design tools with modeling and simulation tools. The goal is to provide automatic generation of models from product specifications using a highly integrated set of tools. Also, we provide the designer with the possibility of selecting the best design choice, verified through (automatic) simulation of different implementation alternatives of the same product model. To have a flexible interaction among various tools of the framework an XML representation of the Modelica modeling language called ModelicaXML is used. For efficient search in a large base of simulation models the Modelica Database was designed.

Ort, förlag, år, upplaga, sidor
2004. s. 405-412
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:liu:diva-22648Lokalt ID: 1934ISBN: 87-7475-316-9 (tryckt)OAI: oai:DiVA.org:liu-22648DiVA, id: diva2:242961
Konferens
SIMS 2004, the 45th International Conference of Scandinavian Simulation Society Copenhagen, Denmark. September 23–24, 2004
Tillgänglig från: 2009-10-07 Skapad: 2009-10-07 Senast uppdaterad: 2018-01-13
Ingår i avhandling
1. Contributions to Meta-Modeling Tools and Methods
Öppna denna publikation i ny flik eller fönster >>Contributions to Meta-Modeling Tools and Methods
2005 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Highly integrated domain-specific environments are essential for the efficient design of complex physical products. However, developing such design environments is today a resource-consuming error-prone process that is largely manual. Meta-modeling and meta-programming are the key to the efficient development of such environments.

The ultimate goal of our research is the development of a meta-modeling approach and its associated meta-prograrnming methods for the synthesis of model-driven product design environments that support modeling and simulation. Such environments include model-editors, compilers. debuggers and simulators. This thesis presents several contributions towards this vision, in the context of the Modelica framework.

Thus, we have first designed a meta-model for the object-oriented declarative modeling language Modelica, which faci litates the development of tools for analysis. checking, querying, documentation, transformation and management of Modelica models. We have used XML Schema for the representation of the meta-model. namely, ModelicaXML. Next, we have focused on the automatic composition. refactoring and transformation of Modelica models. We have extended the invasive composition environment COMPOST to handle Modelica models described using ModelicaXML.

The Modelica language semantics has already been specified in the Relational Meta-Language (RML). which is an executable meta-programming system based on the Natural Semantics formalism. Using such a meta-programming approach to manipulate ModelicaXML, it is possible to automatically synthesize a Modelica compiler. However. such a task is difficult without the support for debugging. To address this issue we have developed a debugging framework for RML, based on abstract syntax tree instrumentation in the RML compiler and support of efficient tools for complex data structures and proof-trees visualization.

Our contributions have been implemented within OpenModelica, an open-source Modelica framework. The evaluations performed using several case studies show the efficiency of our metamodeling tools and methods.

Ort, förlag, år, upplaga, sidor
Linköping: Linköping University, 2005. s. 25
Serie
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1162
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:liu:diva-30335 (URN)15872 (Lokalt ID)91-85299-41-3 (ISBN)15872 (Arkivnummer)15872 (OAI)
Presentation
2005-06-03, Alan Turing (fd. Estraden), Hus E, Linköpings universitet, Linköping, 13:15 (Svenska)
Tillgänglig från: 2009-10-09 Skapad: 2009-10-09 Senast uppdaterad: 2018-01-13

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