Publications
Code · Zenodo · July 21, 2026
RiskFlow AI: A Rule-Based Decision-Support Framework for Subprocess-Level Residual Risk Computation on BPMN Models
Askhat Amrenov, Дина Сатыбалдина, Assel Nurusheva, Aliya Issainova, Gulsipat Abisheva
Abstract
Initial public release accompanying the manuscript submission to Applied Sciences (MDPI): a rule-based decision-support framework computing subprocess-level residual risk on BPMN models, with a compliance-evidence layer and a completed 8-participant pilot validation study (inherent-vs-residual risk diagnostic). Includes: application source code, database schema, demonstration seed scripts for the three illustrative case studies, the pilot validation instrument and analysis pipeline (validation_study/), generated paper figures, and the manuscript draft.
Business Process Modeling and AnalysisRisk and Safety AnalysisSafety Systems Engineering in Autonomyrule-based decision supportcompliance evidenceinherent risk
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