2016
DOI: 10.1016/j.jss.2016.02.028
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Self-adaptation in software-intensive cyber–physical systems: From system goals to architecture configurations

Abstract: International audienceDesign 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-adapt… Show more

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Cited by 49 publications
(25 citation statements)
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References 59 publications
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“…The experiment described in [6] proved that usage of IRM-SA represents a significant help in EBCS design and development. Participants of this experiment designed using IRM-SA an EBCS architecture with less errors than participants using another design method.…”
Section: Irm-sa Explained By Examplementioning
confidence: 86%
“…The experiment described in [6] proved that usage of IRM-SA represents a significant help in EBCS design and development. Participants of this experiment designed using IRM-SA an EBCS architecture with less errors than participants using another design method.…”
Section: Irm-sa Explained By Examplementioning
confidence: 86%
“…This control technology is implemented on the basis of homeostat -a self-organizing specialized subsystem aimed at supporting the system's key parameter values within a great variety of allowable values [13,14].…”
Section: Homeostatic Security Controlmentioning
confidence: 99%
“…JID: JSS [m5G;September 15, 2016;9:32 ] Sequencing constraints (causal and parallel) are taken into account in the matching process. The work of Gerostathopoulos et al (2016) presents a design method that addresses dependability and adaptability for cyberphysical systems. The authors suggest define a kind of models where CPS requirements are specified as invariants (representing the system goals).…”
Section: Content Of the Special Issuementioning
confidence: 99%