Self-repair of embedded systems

Research output: Contribution to journalArticle

LanguageEnglish
Pages1-9
JournalEngineering Applications of Artificial Intelligence
Volume17
Issue number1
DOIs
Publication statusPublished - 1 Feb 2004

Cite this

@article{e0bf0893a54d44fcaf2bf95ba08f9045,
title = "Self-repair of embedded systems",
author = "LP Maguire and EA Coyle and Martin McGinnity",
note = "Other Details ------------------------------------ This paper arises from a wholly industrially funded PhD studentship (International Test Technologies Ltd) and introduces the concept of using UML to affect both the hardware and software self-repair of an embedded system, building on previous published work by the authors on intelligent testing, diagnosis and repair. At the time of submission, there was limited research in self-repairing hardware, but more recently this area and autonomic computing have generated considerable interest. This publication has recently led to discussions with Scisys Ltd. seeking to exploit the research in space applications.",
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month = "2",
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language = "English",
volume = "17",
pages = "1--9",
journal = "Engineering Applications of Artificial Intelligence",
issn = "0952-1976",
publisher = "Elsevier",
number = "1",

}

Self-repair of embedded systems. / Maguire, LP; Coyle, EA; McGinnity, Martin.

In: Engineering Applications of Artificial Intelligence, Vol. 17, No. 1, 01.02.2004, p. 1-9.

Research output: Contribution to journalArticle

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AU - Coyle, EA

AU - McGinnity, Martin

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PY - 2004/2/1

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DO - 10.1016/j.engappai.2003.11.009

M3 - Article

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SP - 1

EP - 9

JO - Engineering Applications of Artificial Intelligence

T2 - Engineering Applications of Artificial Intelligence

JF - Engineering Applications of Artificial Intelligence

SN - 0952-1976

IS - 1

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