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Composition of Languages, Models, and Analyses

Talcott, Carolyn (author)
SRI International, USA
Ananieva, Sofia (author)
FZI Research Center for Information Technology, Germany
Bae, Kyungmin (author)
POSTECH, Republic of Korea
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Combemale, Benoit (author)
University of Rennes, France
Heinrich, Robert (author)
Karlsruhe Institute of Technology, Germany
Hills, Mark (author)
East Carolina University, USA
Khakpour, Narges (author)
Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)
Reussner, Ralf (author)
Karlsruhe Institute of Technology, Germany
Rumpe, Bernhard (author)
RWTH Aachen, Germany
Scandurra, Patrizia (author)
University of Bergamo, Italy
Vangheluwe, Hans (author)
University of Antwerp, Belgium
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 (creator_code:org_t)
2021-07-18
2021
English.
In: Composing Model-Based Analysis Tools. - Cham : Springer. - 9783030819149 - 9783030819156 ; , s. 45-70
  • Book chapter (peer-reviewed)
Abstract Subject headings
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  • This chapter targets a better understanding of the compositionality of analyses, including different forms of compositionality and specific conditions of composition. Analysis involves models, contexts, and properties. These are all expressed in languages with their own semantics. For a successful composition of analyses, it is therefore important to compose models as well as the underlying languages. We aim to develop a better understanding of what is needed to answer questions such as “When I want to compose two or more analyses, what do I need to take into account?” We describe the elements impacting analysis compositionality, the relation of these elements to analysis, and how composition of analysis relates to compositionality of these elements.This core chapter addresses Challenge 1 introduced in Chap. 3 of this book (the theoretical foundations—how to compose the underlying languages, models, and analyses).

Subject headings

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

Keyword

Data- och informationsvetenskap
Computer and Information Sciences Computer Science

Publication and Content Type

ref (subject category)
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