AI for Verification and Validation of Safety-Critical Systems: reproducibility package (bibliometric data, code, and AVAF coding, 2016–2026)
Year: 2026
Type: dataset
Abstract: Reproducibility package for a bibliometric science-mapping study of artificial intelligence for the verification and validation (V&V) of safety-critical systems (2016–2026), and for the AI-Verification Assurance Framework (AVAF). Contains the raw Scopus and Web of Science exports, a single commented R script reproducing the full pipeline (import, merge, de-duplication, programmatic eligibility screening with per-reason exclusion counts, controlled thesaurus and stop-terms, co-word network, consensus community partition over 30 restarts, sensitivity/ARI grid, thematic map, and trend topics), the derived outputs (PRISMA counts, descriptor tables, cluster and sensitivity results, figures), the AVAF coding workbook (codebook, coded subsample, and intra-coder test–retest reliability), a README, and R session information. The analysed corpus comprises 425 documents (search date: 4 July 2026). The random seed is fixed for deterministic reproduction.
Author: Dhaou, Fatma
Institution: University of Tabuk
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7213932883
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