Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Cyclomatic complexity

Cyclomatic complexity is a software metric used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program's source code. It was developed by Thomas J. McCabe, Sr. in 1976.

Applications, In algebraic topology & Description

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

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

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Description

In algebraic topology

Applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Cyclomatic complexity

Nodes62
Edges61
Triples60
Avg. degree1.97
Density0.032258
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Cyclomatic complexity

Top relations

related to Correlation to number of defects · 12
Cyclomatic complexity → Although, However, International, ISO, Les Hatton, McCabe's, Multiple, Reducing, Since, Some, Studies, The
related to Measuring the "structuredness" of a program · 12
Cyclomatic complexity → CFG, CFGs, For, If, In, McCabe, McCabe's, Nowadays, Section VI, The, This, To
related to Definition · 11
Cyclomatic complexity → Another, FALSE, Here, If, IFs, One, S/P, The, There, TRUE, Two
related to Interpretation · 10
Cyclomatic complexity → Complex, Department, Homeland Security, Identify Risk, In, More, Simple, Software Quality Metrics, Tom McCabe, Untestable
related to Limiting complexity during development · 8
Cyclomatic complexity → As, For, He, However, McCabe's, NIST Structured Testing, One, This
related to External links · 4
Cyclomatic complexity → Generating, It, PolyspaceThe, Why We Don't Use
related to Implications for software testing · 2
Cyclomatic complexity → Another, It
is a · 1
Cyclomatic complexity → software metric used to indicate the complexity of a program

Important terminology Word statistics

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

Important terminology

complexity cyclomatic number program graph paths one also test code displaystyle may two cases path equal mccabe testing module coverage

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Cyclomatic complexityis asoftware metric used to indicate the complexity of a program0.90text
Cyclomatic complexityrelated to Correlation to number of defectsMultiple0.60section
Cyclomatic complexityrelated to Correlation to number of defectsMcCabe's0.60section
Cyclomatic complexityrelated to Correlation to number of defectsSome0.60section
Cyclomatic complexityrelated to Correlation to number of defectsHowever0.60section
Cyclomatic complexityrelated to Correlation to number of defectsLes Hatton0.60section
Cyclomatic complexityrelated to Correlation to number of defectsStudies0.60section
Cyclomatic complexityrelated to Correlation to number of defectsAlthough0.60section
Cyclomatic complexityrelated to Correlation to number of defectsSince0.60section
Cyclomatic complexityrelated to Correlation to number of defectsThe0.60section
Cyclomatic complexityrelated to Correlation to number of defectsReducing0.60section
Cyclomatic complexityrelated to Correlation to number of defectsInternational0.60section

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

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.