Artifactory - A Systematic Literature Review: Advancing Microservice Deployment Using Artificial Intelligence Techniques

This anonymized replication package supports a systematic literature review of AI-driven microservice deployment. Version v1.1.0-rc3-anon preserves the public baseline data and provides the materials used to audit, reconcile, and extend the review during manuscript revision. The package includes: Screening records, exclusion reasons, duplicate checks, and scope decisions. Historical and reassessed quality scores, approved assessment rules, and threshold-sensitivity analyses. Source-linked evidence extraction: 791 evidence rows across 70 report identifiers. Seven within-study quantitative comparisons, with named baselines, calculation details, and reported trade-offs. Tables, QA plots, screening diagrams, Sankey data, and offline reproduction scripts. File manifests, checksums, and validation results. The reconciled screening ledger covers 97 flagged records, including 92 terminal source outcomes. The combined QA register contains 73 complete assessments; these are assessment identifiers, not a final included-study count. This release is a revision snapshot. Five source records retain pending scope outcomes, and four reassessment forms lack new scores. Final corpus counts and the revised whole-study PRISMA diagram depend on resolving these fields and completing consistent report-family consolidation. Team and reviewer identities are replaced with anonymous role labels. Published-study references remain identifiable. Primary-study full texts and private correspondence are excluded.