International Journal on Science and Technology

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Scalable Uat Execution Framework for B2b Applications with Data-dependent Entry/exit Criteria using Sql Query Hooks

Author(s) Udayan Verma
Country United States
Abstract The current report is forward-looking automation architecture with Business-to-Business (B2B) applications being optimized through SQL query hooks as data reliant entry and exit points to the User Acceptance Testing (UAT). Conventional UAT systems are unlikely to work with a dynamic backend data environment and introduce such inefficiencies as premature test execution and premature validation of a database change. The suggested scheme, entails SQL-based gating functions in the automation stream of events and ascertains that the testing procedure stipulates the fulfillment of the preconditioned data circumstances and ceases when the checking of the entirety of the demanded transitions of the backend outlooks has been executed. This data-driven execution model improves the reliability of data testing by excluding the false positives, less human control and gives accurate points of test to go/no-go decision-making. This framework is a strong platform that supports the enhancement of the quality assurance procedures in complex B2B ecosystems because it can support large data volumes and scale tests without issues, besides being compatible with continuous integration and delivery (CI/CD) pipelines.
Keywords UAT Framework, SQL Query Hooks, B2B Automation, Data-Driven Testing, CI/CD Integration.
Published In Volume 15, Issue 3, July-September 2024
Published On 2024-09-09
DOI https://doi.org/10.71097/IJSAT.v15.i3.10657
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