A catalog of ten cache smells in GitLab CI/CD, an automated detector achieving 0.98 F1, and empirical evidence that the smells appear in 89% of 228 mature open-source projects.
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An AI-enabled framework is proposed to assess CI suitability, recommend services, and guide configurations according to project characteristics.
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Cache-Related Smells in GitLab CI/CD: Comprehensive Catalog, Automated Detection, and Empirical Evidence
A catalog of ten cache smells in GitLab CI/CD, an automated detector achieving 0.98 F1, and empirical evidence that the smells appear in 89% of 228 mature open-source projects.
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A Vision for Context-Aware CI Adoption Decisions
An AI-enabled framework is proposed to assess CI suitability, recommend services, and guide configurations according to project characteristics.