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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Systems Engineeringarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Systems Engineering
Article . 2024 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2025
Data sources: DBLP
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How to steer evolution of a system‐of‐systems

Authors: Mohamed Hichem Fendali; Isabelle Borne; Djamel Meslati; Labiba Souici-Meslati;

How to steer evolution of a system‐of‐systems

Abstract

Abstract This paper presents a system‐theoretic study of how System‐of‐Systems (SoS) evolution can be steered towards any desirable direction. For practitioners, this is a non‐trivial undertaking because of the potential resistance to change from the independent constituents. In this paper, we highlight this subject as a gap in the literature on SoS evolution, but not only. We review the characteristics of the SoS evolution context to establish that, despite the limitations in visibility and control, a SoS will still exhibit many evolutionary tendencies and dynamics, which can be harnessed for steering its evolution. Based on that, we present a set of six 6 prescriptive heuristics which practitioners can turn to when they need a SoS to move in any desired direction. These heuristics optimize for making the best use of one's available (direct and indirect) leverages. The usefulness and broad applicability of the proposed heuristics are illustrated through case studies of two distinct real‐world SoSs, namely, the Internet and the European Rail Traffic Management System (ERTMS).

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
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