Journal of Advances in Developmental Research
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Volume 17 Issue 1
2026
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TEST STRATEGY DESIGN FOR LARGE-SCALE B2B APIS HANDLING CURRENCY AND TAX CALCULATIONS WITH AUTOMATED ERROR RECONCILIATION
| Author(s) | Udayan Verma |
|---|---|
| Country | United States |
| Abstract | The entire business-to-business (B2B) ecosystems procurement process is based on application programming interfaces (APIs) to make the available inter-border financial transactions. When there is exchange of multiple-currencies and also taxation by multiple-jurisdictions, performing these calculations and reconcilments with accurateness is of great concern in such transactions. A manual system will stifle appallingly in these operation processes with much difficulty, such as lag time, compliance, and frequently they are exposed to more financial risk. The Test Plan suggested in this paper provides details of automated testing of Charter Communications omega large-scale B2B measured APIs. It is an automated currency conversion, logical validation and error fault-checking test plan. It has test data parameterized, SQL testing of the back-end, and automatic categorization of mismatch to be valid and analyzable. The system architecture helps end-to-end computerized systems to the control of result, fiscal, and revenue compliance. The structure enables removal of manual records, regulatory adherence, and extension to the further development such as trauma stability. |
| Keywords | B2B APIs, Currency Conversion, Tax Calculation, Automated Error Reconciliation, Multi-Jurisdiction Validation, Jenkins Pipeline, SQL Backend Validation, Financial Compliance, Discrepancy Categorisation, Continuous Integration. |
| Published In | Volume 15, Issue 1, January-June 2024 |
| Published On | 2024-02-05 |
| Cite This | TEST STRATEGY DESIGN FOR LARGE-SCALE B2B APIS HANDLING CURRENCY AND TAX CALCULATIONS WITH AUTOMATED ERROR RECONCILIATION - Udayan Verma - IJAIDR Volume 15, Issue 1, January-June 2024. DOI 10.71097/IJAIDR.v15.i1.1786 |
| DOI | https://doi.org/10.71097/IJAIDR.v15.i1.1786 |
| Short DOI | https://doi.org/hbvv7g |
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