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University of Limerick Research Repository
Conference object . 2011
License: CC BY NC SA
https://doi.org/10.1109/sew.20...
Article . 2011 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object
Data sources: DBLP
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Software Maintenance through Supervisory Control

Authors: Benoit Gaudin; Alessandra Bagnato;

Software Maintenance through Supervisory Control

Abstract

This work considers the case of system maintenance where systems are already deployed and for which some faults or security issues were not detected during the testing phase. We propose an approach based on control theory that allows for automatic generation of maintenance fixes. This approach disables faulty or vulnerable system functionalities and requires to instrument the system before deployment so that it can later be monitored and interact with a supervisor at runtime. This supervisor ensures some property designed after deployment in order to avoid future executions of faulty or vulnerable system functionalities. This property corresponds to a set of safe behaviors described as a Finite State Machine. The computation of supervisors can be performed automatically, relying on a sound Supervisory Control Theory. We first introduce some basic notions of Supervisory Control theory, then we present and illustrate our approach which also relies on automatic models extraction and instrumentation.

Country
Ireland
Related Organizations
Keywords

software maintenance, supervisory control theory, vulnerabilities, software control

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    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).
    3
    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.
    Average
    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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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!
3
Average
Average
Average
Green