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RiskFlow AI: A Rule-Based Decision-Support Framework for Subprocess-Level Residual Risk Computation on BPMN Models

Year: 2026

Type: software

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21468533

Authors: Amrenov, Askhat, Satybaldina, Dina, Nurusheva, Assel, Issainova, Aliya, Abisheva, Gulsipat

Institution: L. N. Gumilyov Eurasian National University

Language: English

Topic: Business Process Modeling and Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7169847335

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