I am an older hobbyist programmer trying to understand SonarQube code quality metrics, specifically how cyclomatic complexity scores are calculated in modern codebases versus the older academic definitions I learned years ago.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am an older hobbyist programmer trying to understand SonarQube code quality metrics, specifically how cyclomatic complexity scores are calculated in modern codebases versus the older academic definitions I learned years ago.
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
SonarQube documentation cyclomatic complexity metric complexity formula decision points language-specific Google ↗
SonarSource rule cyclomatic complexity cognitive complexity definitions complexity metric Google ↗
- Understanding measures and metrics | SonarQube Server · docs.sonarsource.com
- Metric definitions | SonarQube Server 10.6 · docs.sonarsource.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
SonarQube documentation cyclomatic complexity metric complexity formula decision points language-specific OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
SonarSource rule cyclomatic complexity cognitive complexity definitions complexity metric OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |