Transaction Processor Simulation Testing for Reliable Validation
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Solution Overview
Problem
Testing transaction processors is complex, time-consuming, and prone to errors, leading to inaccurate financial transaction processing, which can result in lost revenue, compliance issues, and reputational damage, especially with the increasing volume and complexity of transactions.
Innovation Solution
A transaction-processor tester system that includes a rule generator, transaction generator, payload parser, and payload validator to create, simulate, and validate transactions based on predefined parameters, allowing for efficient and accurate testing of transaction processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional manual testing methods are used for transaction processors, then testing can be performed with simple tools, but the testing process becomes complex, time-consuming, and prone to errors
Solution Approach 1:
The patent creates a virtual copy of the transaction processor through a simulation environment that replicates the actual processing logic. This virtual model allows automated testing without interfering with production systems, enabling comprehensive test coverage while maintaining system reliability and reducing manual intervention errors.
Solution Approach 2:
The patent introduces an intermediary testing system that sits between the transaction processor and test data sources. This intermediary layer manages test case execution, automates validation logic, and coordinates results collection, thereby reducing complexity in test management while improving testing accuracy through systematic automation.
2Reliability
If comprehensive transaction rules are applied to ensure accurate processing, then financial accuracy improves, but processing time and operational complexity increase
Solution Approach 1:
The patent pre-loads comprehensive transaction rules and validation logic into the processing system before transactions occur. By having all validation rules, limits, and processing logic预先 configured and cached, the system can execute transactions at high speed while maintaining accurate financial processing, as the complex validation work has already been prepared in advance.
Solution Approach 2:
The patent dynamically adjusts processing parameters based on transaction characteristics. The system evaluates transaction attributes and applies appropriate validation rules and processing paths, optimizing the balance between thoroughness and speed. This allows comprehensive rules to be applied selectively rather than uniformly, maintaining accuracy while improving overall processing throughput.
3Measurement precision
If extensive testing coverage is implemented to catch errors, then transaction accuracy improves, but testing time and resource consumption increase
Solution Approach 1:
The patent implements a multi-layered testing approach where critical transactions receive exhaustive validation while routine transactions use streamlined checking. The system applies comprehensive rule sets selectively based on transaction risk profiles and types, achieving high measurement precision for important cases without proportionally increasing testing time across all transactions.
Solution Approach 2:
The patent establishes continuous automated testing that runs parallel to transaction processing rather than as separate batch operations. The testing system continuously validates transactions as they flow through the processor, maintaining high validation accuracy while minimizing time loss by eliminating idle testing periods and ensuring validation occurs during normal processing flow.
Data Source
AI summary
A transaction-processor tester system for examining a transaction processor is disclosed. The system includes a rule generator, a storage medium, a rule selector, a transaction generator, a payload parser, and a payload validator. The storage medium is to receive and store random transaction rules. The rule selector is to receive an input indicative of at least one selected rule type, and retrieve a subset of the random transaction rules. The transaction generator is to generate simulated transactions based on predefined transaction map and transaction-parameter conditions, check the simulated transactions against the subset of rules, and output expected values based on the simulated transactions that are in accordance with the subset of rules. The payload includes an output of the transaction processor from processing the subset of the simulated transactions. The output of the transaction processor includes actual values associated with processing the subset of the simulated transactions.