Abstract
Assessing the impact of system modifications in regulated computing environments, such as on cloud platforms or on-premise servers, may be challenging, as some methods can rely on siloed tools or subjective manual reviews that may lead to inefficient re-validation or compliance risks. A system may utilize a heterogeneous graph model to create a unified digital representation of a validated system, which can integrate entities such as code, data, infrastructure, and regulatory requirements. For example, when a change is proposed, a change propagation simulator can analyze potential effects by performing a weighted traversal of the graph to determine a multi-dimensional impact radius and a corresponding risk vector. Based on this analysis, a targeted and risk-based validation plan may be generated to provide a data-driven method for managing change control and supporting the maintenance of system compliance.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Neelakandan, Ramakrishnan; Singh, Teginder; and Patel, Bakul, "Heterogeneous Graph Model for Predictive Impact Analysis in Validated Systems", Technical Disclosure Commons, (November 17, 2025)
https://www.tdcommons.org/dpubs_series/8886