Self-adaptation in software-intensive cyber–physical systems: From system goals to architecture configurations

Ilias Gerostathopoulos*, Tomas Bures, Petr Hnetynka, Jaroslav Keznikl, Michal Kit, Frantisek Plasil, Noël Plouzeau

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


Design of self-adaptive software-intensive cyber–physical systems (siCPS) operating in dynamic environments is a significant challenge when a sufficient level of dependability is required. This stems partly from the fact that the concerns of self-adaptivity and dependability are to an extent contradictory. In this paper, we introduce IRM-SA (Invariant Refinement Method for Self-Adaptation)—a design method and associated formally grounded model targeting siCPS—that addresses self-adaptivity and supports dependability by providing traceability between system requirements, distinct situations in the environment, and predefined configurations of system architecture. Additionally, IRM-SA allows for architecture self-adaptation at runtime and integrates the mechanism of predictive monitoring that deals with operational uncertainty. As a proof of concept, it was implemented in DEECo, a component framework that is based on dynamic ensembles of components. Furthermore, its feasibility was evaluated in experimental settings assuming decentralized system operation.

Original languageEnglish
Pages (from-to)378-397
Number of pages20
JournalJournal of Systems and Software
Publication statusPublished - 1 Dec 2016
Externally publishedYes


  • Cyber–physical systems
  • Dependability
  • Self-adaptivity


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