Anomalies as precursors of field failures

Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are properly captured. In this paper, we empirically investigate how various anomaly detection schemes can serve to identify th...

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Published in:	14th International Symposium on Software Reliability Engineering, 2003. ISSRE 2003 pp. 108 - 118
Main Authors:	Elbaum, S., Kanduri, S., Amschler, A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2003
Subjects:	Acceleration Computer science Costs Data security Debugging Detection algorithms Failure analysis Reliability engineering Software reliability Testing
Online Access:	Get full text
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Abstract	Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are properly captured. In this paper, we empirically investigate how various anomaly detection schemes can serve to identify the conditions that precede failures in deployed software. Our results expose the tradeoffs between different detection algorithms applied to several types of events under varying levels of in-house testing.
AbstractList	Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are properly captured. In this paper, we empirically investigate how various anomaly detection schemes can serve to identify the conditions that precede failures in deployed software. Our results expose the tradeoffs between different detection algorithms applied to several types of events under varying levels of in-house testing.
Author	Kanduri, S. Elbaum, S. Amschler, A.
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Snippet	Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading...
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SubjectTerms	Acceleration Computer science Costs Data security Debugging Detection algorithms Failure analysis Reliability engineering Software reliability Testing
Title	Anomalies as precursors of field failures
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