Accelerated Testing Methods for Ensuring Secure and Efficient Payment Processing Systems
DOI:
https://doi.org/10.18034/ra.v6i3.662Keywords:
Automated Testing Frameworks, Payment Processing Systems, Security Testing, Efficiency Optimization, Anomaly Detection, Performance Testing, Digital PaymentsAbstract
This study examines accelerated testing approaches for payment processing system security and efficiency. To improve system dependability and regulatory compliance, automated testing frameworks, AI and ML technologies, simulation methods, and compliance integration are the primary goals. The paper synthesizes various techniques through a detailed literature analysis and case studies. Significant findings show that automated testing frameworks reduce time-to-market and errors, while AI and ML technologies improve anomaly detection and predictive analytics. Simulation is essential for assessing system performance, finding weaknesses, and optimizing operational resilience. Compliant testing procedures protect financial transactions and consumer trust by adhering to regulatory regulations. Policy implications highlight the need for regulatory alignment with sophisticated testing methodologies and resource-intensive AI and ML adoption. This report recommends expedited testing methodologies to protect payment processing systems from digital threats and regulations.
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Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Em-powering Managers for Better Business Outcomes. International Journal of Reciprocal Sym-metry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129
Arvidsson, N. (2014). A Study of Turbulence in the Swedish Payment System – is there a Way Forward?. Foresight: the Journal of Futures Studies, Strategic Thinking and Policy, 16(5), 462-482. https://doi.org/10.1108/FS-06-2013-0024
Csáki, C., O'Brien, L., Giller, K., McCarthy, J. B., Tan, K-T. (2013). The Use of E-Payment in the Distribution of Social Welfare in Ireland. Transforming Government: People, Process and Pol-icy, 7(1), 6-26. https://doi.org/10.1108/17506161311308142
Javan, S. L., Bafghi, A. G. (2014). An Anonymous Mobile Payment Protocol Based on SWPP. Electronic Commerce Research, 14(4), 635-660. https://doi.org/10.1007/s10660-014-9151-6
Khan, B. U. I., Olanrewaju, R. F., Baba, A. M., Langoo, A. A., Assad, S. (2017). A Compendious Study of Online Payment Systems: Past Developments, Present Impact, and Future Consid-erations. International Journal of Advanced Computer Science and Applications, 8(5). https://doi.org/10.14569/IJACSA.2017.080532
Mohammed, M. A., Kothapalli, K. R. V., Mohammed, R., Pasam, P., Sachani, D. K., & Richardson, N. (2017). Machine Learning-Based Real-Time Fraud Detection in Financial Transac-tions. Asian Accounting and Auditing Advancement, 8(1), 67–76. https://4ajournal.com/article/view/93
Mohammed, R., Addimulam, S., Mohammed, M. A., Karanam, R. K., Maddula, S. S., Pasam, P., & Natakam, V. M. (2017). Optimizing Web Performance: Front End Development Strategies for the Aviation Sector. International Journal of Reciprocal Symmetry and Theoretical Physics, 4, 38-45. https://upright.pub/index.php/ijrstp/article/view/142
Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89
Mullangi, K., Yarlagadda, V. K., Dhameliya, N., & Rodriguez, M. (2018). Integrating AI and Re-ciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making. In-ternational Journal of Reciprocal Symmetry and Theoretical Physics, 5, 42-52. https://upright.pub/index.php/ijrstp/article/view/134
Sachani, D. K., & Vennapusa, S. C. R. (2017). Destination Marketing Strategies: Promoting South-east Asia as a Premier Tourism Hub. ABC Journal of Advanced Research, 6(2), 127-138. https://doi.org/10.18034/abcjar.v6i2.746
Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redun-dancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126
Vennapusa, S. C. R., Fadziso, T., Sachani, D. K., Yarlagadda, V. K., & Anumandla, S. K. R. (2018). Cryptocurrency-Based Loyalty Programs for Enhanced Customer Engagement. Technology & Management Review, 3, 46-62. https://upright.pub/index.php/tmr/article/view/137
Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659
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Copyright (c) 2018 Kishore Mullangi, Sunil Kumar Reddy Anumandla, Sai Sirisha Maddula, Sai Charan Reddy Vennapusa, Manzoor Anwar Mohammed
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