Which SonarQube code smell and cognitive complexity metrics correlate best with production bug rates in enterprise Java microservices?
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The searches the AI actually ran for this prompt.
SEED QUERY
Which SonarQube code smell and cognitive complexity metrics correlate best with production bug rates in enterprise Java microservices?
3 real searches · 1 real-search pass
SonarQube code smells cognitive complexity production defects Java microservices empirical study bug predictionGoogle ↗
OBSERVED
cognitive complexity code smells defect proneness Java empirical study SonarQube metricsGoogle ↗
OBSERVED
SonarQube metrics bugs production defect density code smells enterprise microservices studyGoogle ↗
OBSERVED
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.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
SonarQube code smells cognitive complexity production defects Java microservices empirical study bug prediction Google ↗
cognitive complexity code smells defect proneness Java empirical study SonarQube metrics Google ↗
SonarQube metrics bugs production defect density code smells enterprise microservices study Google ↗
- A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction | Empirical Software Engineering · link.springer.com
- docs.sonarsource.com · docs.sonarsource.com
- Some SonarQube issues have a significant but small effect on faults and changes. A large-scale empirical study · sciencedirect.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
SonarQube code smells cognitive complexity production defects Java microservices empirical study bug prediction OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
cognitive complexity code smells defect proneness Java empirical study SonarQube metrics OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
SonarQube metrics bugs production defect density code smells enterprise microservices study OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |