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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.
The analysis highlights Applications, In algebraic topology and Description as prominent areas in the source structure around Cyclomatic complexity.
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Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
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The extracted context around Cyclomatic complexity shows recurring relationship patterns in the source. For example, Cyclomatic complexity → Although, International, ISO, Les Hatton, McCabe's, Multiple, Reducing, Since, Studies Another extracted example is Cyclomatic complexity → Complex, Department, Homeland Security, Identify Risk, Simple, Software Quality Metrics, Tom McCabe, Untestable. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
complexity cyclomatic number program graph paths one also test code displaystyle may two cases path equal mccabe testing module coverage
TTTA extracted 35 structured relationships around Cyclomatic complexity. Examples in this analysis include Cyclomatic complexity → is a → software metric used to indicate the complexity of a program and Cyclomatic complexity → related to Correlation to number of defects → Multiple. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cyclomatic complexity | is a | software metric used to indicate the complexity of a program | 0.90 | text |
| Cyclomatic complexity | related to Correlation to number of defects | Multiple | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | McCabe's | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | Les Hatton | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | Studies | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | Although | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | Since | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | Reducing | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | International | 0.60 | section |
| Cyclomatic complexity | related to Correlation to number of defects | ISO | 0.60 | section |
| Cyclomatic complexity | related to Definition | One | 0.60 | section |
| Cyclomatic complexity | related to Definition | S/P | 0.60 | section |
The concept neighborhoods around Cyclomatic complexity bring nearby vocabulary together. In this analysis, examples include Cyclomatic, Number and Program. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cyclomatic complexity, one of the stronger structural bridges in this analysis connects Cyclomatic complexity with In algebraic topology. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Cyclomatic complexity to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, In algebraic topology & Description, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Cyclomatic complexity · EN edition · Analysis: TopicsToTalkAbout
