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A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems

A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems

Gabriella Carrozza, Roberto Natella
Copyright: © 2011 |Volume: 2 |Issue: 1 |Pages: 28
ISSN: 1947-9220|EISSN: 1947-9239|EISBN13: 9781613505311|DOI: 10.4018/jaras.2011010105
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MLA

Carrozza, Gabriella, and Roberto Natella. "A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems." IJARAS vol.2, no.1 2011: pp.77-104. http://doi.org/10.4018/jaras.2011010105

APA

Carrozza, G. & Natella, R. (2011). A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 2(1), 77-104. http://doi.org/10.4018/jaras.2011010105

Chicago

Carrozza, Gabriella, and Roberto Natella. "A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems," International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 2, no.1: 77-104. http://doi.org/10.4018/jaras.2011010105

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Abstract

This paper proposes an approach to software faults diagnosis in complex fault tolerant systems, encompassing the phases of error detection, fault location, and system recovery. Errors are detected in the first phase, exploiting the operating system support. Faults are identified during the location phase, through a machine learning based approach. Then, the best recovery action is triggered once the fault is located. Feedback actions are also used during the location phase to improve detection quality over time. A real world application from the Air Traffic Control field has been used as case study for evaluating the proposed approach. Experimental results, achieved by means of fault injection, show that the diagnosis engine is able to diagnose faults with high accuracy and at a low overhead.

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