Kola, Vijay Kumar (2025) QA testing methodologies and techniques for regulatory compliance in sap and salesforce: a framework for regulated industries. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1057-1065. ISSN 2582-8266
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Abstract
Quality assurance testing for regulatory compliance in enterprise systems like SAP and Salesforce represents a critical function for organizations in highly regulated industries such as Medical Device and Pharmaceutical sectors. This comprehensive framework addresses the complex intersection of technology validation and regulatory requirements through structured methodologies and specialized testing techniques. The economic impact of implementing robust compliance validation is substantial, with organizations experiencing significant reductions in annual loss expectancy and higher returns on security investments. Through an examination of Waterfall, Agile, and V-Model methodologies, alongside specialized functional, non-functional, and risk-based testing techniques, the framework provides quantitative evidence for the effectiveness of systematic approaches to compliance validation. Automated regression testing strategies and comprehensive documentation practices further enhance compliance maintenance capabilities while reducing remediation costs. The integration of regulatory stakeholders throughout the testing process, particularly during user acceptance testing, significantly improves compliance outcomes and reduces post-implementation issues. By implementing the structured approaches outlined in this framework, organizations can achieve measurable improvements in regulatory compliance while optimizing resource allocation and demonstrating positive return on compliance investments.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.2.0654 |
Uncontrolled Keywords: | Regulatory Compliance; Enterprise Systems; Quality Assurance Testing; Validation Documentation; Risk-Based Testing; Automated Regression Testing |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:34 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3670 |