@Article{M-10476,
AUTHOR = {Patel, Birju and Patel, Jayminkumar},
TITLE = {Integrating Computer Software Assurance into Existing Computer System Validation Programs: A Practical Risk-Based Framework},
JOURNAL = {Scientific Research Journal of Science, Engineering and Technology},
VOLUME = {4},
YEAR = {2026},
NUMBER = {1},
ARTICLE-NUMBER = {M-10476},
URL = {https://isrdo.org/journal/SRJSET/currentissue/integrating-computer-software-assurance-into-existing-computer-system-validation-programs-a-practical-risk-based-framework},
ISSN = {2584-0584},
ABSTRACT = {Background: The U.S. Food and Drug Administration (FDA) finalized
its Computer Software Assurance (CSA) guidance in September 2025, signaling a
paradigm shift from documentation-centric Computer System Validation (CSV)
approaches toward risk-based, critical thinking-driven practices for production
and quality system software in regulated life sciences industries. While the
CSA framework offers significant benefits, including resource optimization and
faster implementation cycles, many organizations struggle with practical
integration into established CSV programs.Methods: This article employs a structured analytical framework
combining regulatory document analysis, industry literature review, and
synthesis of implementation experience in pharmaceutical and medical device
manufacturing environments. The integration methodology was developed by
mapping CSA principles against established CSV lifecycle activities and
identifying specific modification points within existing validation workflows.Results: A phased integration strategy was developed, encompassing
assessment, planning, and implementation stages. Key integration points include
modifications to Computer System Risk Assessment (CSRA) procedures
incorporating intended use analysis, requirement-level risk evaluations aligned
with the CSA risk framework differentiating Critical Attributes from Business
or Engineering Attributes, and differentiated testing strategies proportionate
to risk. The framework demonstrates potential for 30-50% reduction in total
validation effort for low and medium-risk systems while maintaining or
enhancing rigor for high-risk functionality.





Conclusion: CSA implementation represents an evolution rather than
a revolution of CSV practices. The integration framework presented enables
organizations to adopt CSA principles systematically while maintaining
regulatory compliance, achieving improved resource allocation, enhanced focus
on critical functionality, and better alignment with modern software
development methodologies. Successful implementation requires investment in
critical thinking capability, structured change management, and robust
documentation of risk-based rationale.},
DOI = {}
}