Anomalies as precursors of field failures

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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Bibliographic Details
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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Summary: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.
ISBN:0769520073
9780769520070
ISSN:1071-9458
2332-6549
DOI:10.1109/ISSRE.2003.1251035