research-article

Adaptability checking in complex systems

Authors:

Emanuela Merelli,

Nicola Paoletti,

Luca TeseiAuthors Info & Claims

Science of Computer Programming, Volume 115, Issue C

Pages 23 - 46

https://doi.org/10.1016/j.scico.2015.03.004

Published: 01 January 2016 Publication History

Abstract

A hierarchical approach for modelling the adaptability features of complex systems is introduced. It is based on a structural level S, describing the adaptation dynamics of the system, and a behavioural level B accounting for the description of the admissible dynamics of the system. Moreover, a unified system, called S B, is defined by coupling S and B. The adaptation semantics is such that the S level imposes structural constraints on the B level, which has to adapt whenever it no longer can satisfy them. In this context, we introduce weak and strong adaptability, i.e. the ability of a system to adapt for some evolution paths or for all possible evolutions, respectively. We provide a relational characterisation for these two notions and we show that adaptability checking, i.e. deciding if a system is weakly or strongly adaptable, can be reduced to a CTL model checking problem. We apply the model and the theoretical results to the case study of a motion controller of autonomous transport vehicles. Hierarchical model for multi-level adaptive systems.Relational characterisation of strong and weak adaptability.Adaptability checking is reduced to a CTL model checking problem.Application to the case study of ATVs motion control.

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Cited By

Souri ARahmani ANavimipour NRezaei R(2019)A symbolic model checking approach in formal verification of distributed systemsHuman-centric Computing and Information Sciences10.1186/s13673-019-0165-x9:1(1-27)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1186/s13673-019-0165-x
Piangerelli MTesei LMerelli E(2019)A Persistent Entropy Automaton for the Dow Jones Stock MarketFundamentals of Software Engineering10.1007/978-3-030-31517-7_3(37-42)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/978-3-030-31517-7_3
Khakpour NKleijn JSirjani M(2019)A Formal Model to Integrate Behavioral and Structural Adaptations in Self-adaptive SystemsFundamentals of Software Engineering10.1007/978-3-030-31517-7_1(3-19)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/978-3-030-31517-7_1
Show More Cited By

Adaptability checking in complex systems
1. Software and its engineering
  1. Software organization and properties
    1. Software functional properties
      1. Formal methods

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cover image Science of Computer Programming

Science of Computer Programming Volume 115, Issue C

January 2016

245 pages

ISSN:0167-6423

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Copyright © The Authors.

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Elsevier North-Holland, Inc.

United States

Publication History

Published: 01 January 2016

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Cited By

Souri ARahmani ANavimipour NRezaei R(2019)A symbolic model checking approach in formal verification of distributed systemsHuman-centric Computing and Information Sciences10.1186/s13673-019-0165-x9:1(1-27)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1186/s13673-019-0165-x
Piangerelli MTesei LMerelli E(2019)A Persistent Entropy Automaton for the Dow Jones Stock MarketFundamentals of Software Engineering10.1007/978-3-030-31517-7_3(37-42)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/978-3-030-31517-7_3
Khakpour NKleijn JSirjani M(2019)A Formal Model to Integrate Behavioral and Structural Adaptations in Self-adaptive SystemsFundamentals of Software Engineering10.1007/978-3-030-31517-7_1(3-19)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/978-3-030-31517-7_1
Borda AKoutavas VGnesi SPlat NSpoletini PPelliccione P(2018)Self-adaptive automataProceedings of the 6th Conference on Formal Methods in Software Engineering10.1145/3193992.3194001(64-73)Online publication date: 2-Jun-2018
https://dl.acm.org/doi/10.1145/3193992.3194001

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