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Characterizing latent software faults is crucial to address dependability issues of current three-tier systems. A client should not have a misconception that a transaction succeeded, when in reality, it failed due to a silent error. The authors present a fault injection-based evaluation to characterize silent and non-silent software failures in a representative three-tier web service, one that mimics a day trading application widely used for benchmarking application servers. For failure characterization, they quantify distribution of silent and non-silent failures, and recommend low cost application-generic and application-specific consistency checks, which improve the reliability of the application.
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