Accelerated Testing Methods for Ensuring Secure and Efficient Payment Processing Systems
Kishore Mullangi, Sunil Kumar Reddy Anumandla, Sai Sirisha Maddula, Sai Charan Reddy Vennapusa, Manzoor Anwar Mohammed · ABC Research Alert · 2018
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.