AUTOMATED ROOT CAUSE IDENTIFICATION USING DATA FLOW ANALYSIS OF PLURAL EXECUTION TRACES

Automated root cause identification using data flow analysis of plural execution traces. A computer system generates data flow dependency graphs from first and second execution traces an entity. These graphs represent input/output data flows of corresponding executions of the entity. The computer sy...

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Bibliographic Details
Main Author MOLA Jordi
Format Patent
LanguageEnglish
Published 08.11.2022
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Automated root cause identification using data flow analysis of plural execution traces. A computer system generates data flow dependency graphs from first and second execution traces an entity. These graphs represent input/output data flows of corresponding executions of the entity. The computer system generates topological sortings of those graphs and identifies output pairings across these graphs based on outputs having common labels and topological correspondence. The computer system identifies output pairing(s) that are mismatched as having different values and, for at least one mismatched output pairing, traverses the graphs in order to identify input pairing(s) that are topological root(s) to the mismatched output pairing(s) and that are causal to the mismatch(es). Each input pairing comprises inputs that have a common label, a common topological correspondence, and mismatched values. The computer system returns these input pairings as a root cause for at least one difference between first and second execution traces.
Bibliography:Application Number: LU20210500132