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Ktrace

ktrace is a utility included with certain versions of BSD Unix and Mac OS X that traces kernel interaction with a program and dumps it to disk for the purposes of debugging and analysis. Traced kernel operations include system calls, name translations, signal processing, and I/O.

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Explore the main themes, entities and connections around Ktrace. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

11 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
English
Operating system
BSD Unix and Mac OS X
Type
Tracing
Written in
C

Topics to explore

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Overview

Advanced semantic analysis

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Map overview Semantic statistics

Ktrace

Nodes13
Edges12
Triples5
Avg. degree1.85
Density0.153846
Components1

How this topic connects Entity context

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Ktrace

Top relations

Available in · 1
Ktrace → English
Operating system · 1
Ktrace → BSD Unix and Mac OS X
Type · 1
Ktrace → Tracing
Written in · 1
Ktrace → C
is a · 1
Ktrace → utility included with certain versions of BSD Unix and Mac OS X that traces kernel interaction with a program and dumps it to disk for the purposes of debugging and analysis

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

utility mac os kernel versions program trace dtrace bsd unix system kdump macos traces debugging signal included certain interaction dumps

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
KtraceAvailable inEnglish1.00infobox
KtraceOperating systemBSD Unix and Mac OS X1.00infobox
KtraceTypeTracing1.00infobox
KtraceWritten inC1.00infobox
Ktraceis autility included with certain versions of BSD Unix and Mac OS X that traces kernel interaction with a program and dumps it to disk for the purposes of debugging and analysis0.90text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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