Self-repair of embedded systems

LP Maguire; EA Coyle; Martin McGinnity

doi:10.1016/j.engappai.2003.11.009

Self-repair of embedded systems

Faculty Of Computing, Eng. & Built Env.

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1-9
Journal	Engineering Applications of Artificial Intelligence
Volume	17
Issue number	1
DOIs	https://doi.org/10.1016/j.engappai.2003.11.009
Publication status	Published (in print/issue) - 1 Feb 2004

Bibliographical 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.

Access to Document

10.1016/j.engappai.2003.11.009

Cite this

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