An empirical study of tracing techniques from a failure analysis perspective

Kanduri, Satya; Elbaum, Sebastian

doi:10.1109/issre.2002.1173270

Cited by 3 publications

(1 citation statement)

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“…This minimizes the collection overhead at the cost of potentially valuable information. On the other extreme, one could capture all events since the beginning of execution, which would provide more information but cause an important execution overhead (Kanduri and Elbaum 2002). Anticipating the occurrence of a failure could provide a means to determine more efficiently when to trigger the data collection.…”

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confidence: 99%

Trace anomalies as precursors of field failures: an empirical study

2007

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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 can be recognized and properly captured. To anticipate failures we propose to monitor system field behavior for simple trace instances that deviate from a baseline behavior experienced in-house. In this work, we empirically investigate the effectiveness of various simple anomaly detection schemes to identify the conditions that precede failures in deployed software. The results of our experiment provide a preliminary assessment of these schemes, and expose the tradeoffs between different anomaly detection algorithms applied to several types of observable attributes under varying levels of in-house testing.

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confidence: 99%