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Architecture Description Languages Taxonomies Review: A Special Focus on Self-Adaptive Distributed Embedded Systems

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  • Fateh Boutekkouk

    (ReLaCS2 Laboratory, University of Oum el Bouaghi, Algeria)

Abstract

Self-adaptive distributed embedded systems can automatically adjust their behavior and/or structure at run time to respond to some predictable or unpredictable events. On the other hand, architecture description languages (ADLs) are qualified to be a convenient solution to model systems architecture as a set of components with well-defined interfaces and links. ADLs have been well-studied and applied in many engineering areas beyond the software and hardware engineering. This research work reviews the most relevant ADLs taxonomies and surveys from 2000 till now, selects the most suitable ADLs for self-adaptive embedded systems, and compares between standard and non-standard ADLs based on some key criteria. To do this, a search methodology was followed enabling a systematic review. Results showed that only a few standard ADL have been accepted by the embedded industry favoring domain-specific ADLs with a proved support of adaptivity, real time, energy consumption and security.

Suggested Citation

  • Fateh Boutekkouk, 2021. "Architecture Description Languages Taxonomies Review: A Special Focus on Self-Adaptive Distributed Embedded Systems," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 12(1), pages 53-74, January.
    • Handle: RePEc:igg:jtd000:v:12:y:2021:i:1:p:53-74
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