A model for integrating regulatory requirements into continuous software delivery in financial organizations

Continuous software delivery requires financial organizations to reconcile frequent changes with regulatory controls. This study develops a model for systematically integrating regulatory requirements into delivery processes to support demonstrable compliance while accounting for delivery-time constraints. The methods combine comparative analysis of published US and European Union regulatory and supervisory documents, analysis of published research, and structural-functional modeling. Sources include the Digital Operational Resilience Act, Commission Delegated Regulation 2024/1774, Federal Financial Institutions Examination Council guidance, and New York State Department of Financial Services cybersecurity requirements. The proposed classification distinguishes the stage at which an action must be completed, the control object, and the status of its source. The methodological contribution connects this classification with rules for translating and measuring controls: applicability, fulfillment, and evidence sufficiency are assessed separately, while the measurement unit follows the control object and frequency. A release-approval comparison identifies evidence that can be shared across sources and assessments that must remain separate. Analysis of software packages, test data, and release approval establishes sequencing constraints and conditions for evidence reuse. Normal and emergency routes are differentiated through prerequisites and follow-up actions. The proposed metrics cover delivery speed and stability, control fulfillment, evidence completeness, and time spent on controls. The result is a theoretical and methodological model supported by analytical reasoning; implementation effects were not measured.