Research topic
This topic groups methods for selecting useful events, paths, or entities from execution traces. The goal is to reduce irrelevant data while preserving evidence for diagnosis, visualization, modeling, or anomaly analysis. Each paper page distinguishes the filtering rule, retained evidence, workload, and measured reduction or overhead.
Related search terms: execution trace filtering · trace event selection · selective tracing
3 papers in this topic, ordered newest first. The detailed paper records contain the evidence-grounded methods, tools, datasets, findings, and citation guidance.
2020 · Softwaretechnik-Trends
The paper adapts community detection and PageRank from social-network analysis to reduce and prioritize system execution traces.
Keywords: LTTng · Trace Compass · Louvain community detection · PageRank · thread interaction graph
2015 · IEEE BigData Congress
The paper provides a declarative XML/state-machine approach for flexible filtering and synthetic-event generation over large kernel traces.
Keywords: execution trace filtering · LTTng 2.4.0 · Trace Compass · finite-state machine · declarative analysis
2012 · 16th IASTED International Conference on Software Engineering and Applications (SEA 2012)
The paper introduces a stateful trace-abstraction architecture that shares modeled system state and intermediate computation across concurrent patterns to reduce the cost of analyzing large Linux kernel traces.
Keywords: multi-core tracing · LTTng · Linux kernel 2.6.38.6 · stateful trace analysis · trace abstraction