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A model transformation approach for multiscale modeling of software architectures applied to smart cities.

Authors :
Khlif, Ilhem
Hadj Kacem, Mohamed
Eichler, Cédric
Drira, Khalil
Hadj Kacem, Ahmed
Source :
Concurrency & Computation: Practice & Experience; 3/25/2022, Vol. 34 Issue 7, p1-26, 26p
Publication Year :
2022

Abstract

Summary: Modeling and specifying correct software systems is a challenging task that can be supported by providing appropriate modeling abstractions. This article proposes an approach for graphical multiscale modeling of such systems using model transformation techniques. The approach is founded on a guided rule‐based iterative modeling process ensuring controlled transition from a coarse‐grained description to a fine‐grained description. It provides also user‐friendly graphical descriptions by extension of UML notations, hence preserving the common practices from software architectures design. The iterative design process is supported by a set of model transformation rules. The rules manage the refinement process (by adding or removing subsystems or by adding or removing details on a given subsystem) as a model transformation. Our approach is supported by a rule‐based generator that implements the automatic transformation of UML diagrams into Event‐B specifications allowing formal verification of their correctness properties, and relieving software architects of mastering formal techniques. To experiment and validate our approach, we consider a case study dedicated to the smart cities. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15320626
Volume :
34
Issue :
7
Database :
Complementary Index
Journal :
Concurrency & Computation: Practice & Experience
Publication Type :
Academic Journal
Accession number :
155397992
Full Text :
https://doi.org/10.1002/cpe.6298