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Sökning: id:"swepub:oai:DiVA.org:his-18805" > Addressing the need...

Addressing the need for strict meta-modeling in practice - A case study of AUTOSAR

Durisic, Darko, 1986 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)
Staron, Miroslaw, 1977 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)
Tichy, Matthias, 1978 (författare)
University of Ulm, Germany
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Hansson, Jörgen, 1970- (författare)
Högskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi
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 (creator_code:org_t)
SciTePress, 2016
2016
Engelska.
Ingår i: MODELSWARD 2016 - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development. - : SciTePress. - 9789897581687 - 9789897582325 - 9781509058983 ; , s. 317-322
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • Meta-modeling has been a topic of interest in the modeling community for many years, yielding substantial number of papers describing its theoretical concepts. Many of them are aiming to solve the problem of traditional UML based domain-specific meta-modeling related to its non-compliance to the strict meta-modeling principle, such as the deep meta-modeling approach. In this paper, we show the practical use of meta-models in the automotive development process based on AUTOSAR and visualize places in the AUTOSAR metamodel which are broken according to the strict meta-modeling principle. We then explain how the AUTOSAR meta-modeling environment can be re-worked in order to comply to this principle by applying three individual approaches, each one combined with the concept of Orthogonal Classification Architecture: UML extension, prototypical pattern and deep instantiation. Finally we discuss the applicability of these approaches in practice and contrast the identified issues with the actual problems faced by the automotive meta-modeling practitioners. Our objective is to bridge the current gap between the theoretical and practical concerns in meta-modeling. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Nyckelord

AUTOSAR
Deep Meta-modeling
Domain-specific Meta-modeling
Strict Meta-modeling Principle
Engineering
Industrial engineering
Automotive development
Domain specific
Meta model
Meta-model approach
Model communities
Non-compliance
Prototypical patterns
Software design
AUTOSAR; Deep Meta-modeling; Domain-specific Meta-modeling; Strict Meta-modeling Principle

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