Template-Based Test Data Framework for Reusable Data Generation
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Solution Overview
Problem
Creating functional and non-functional test data for software applications is labor-intensive, requiring expert knowledge and multiple programs, and quickly procuring large datasets for testing and demonstrations is difficult.
Innovation Solution
A test data template framework that allows users to create customizable templates for transaction data, including essential parameters, which can be edited and deployed to generate test data efficiently, reducing the need for multiple programs and minimizing processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expert knowledge and multiple programs are used to create test data, then data quality and completeness are improved, but labor intensity and time consumption increase
Solution Approach 1:
The patent applies preliminary action by pre-defining test data templates with all necessary parameters, data types, and validation rules before actual test execution. These templates are created once and can be reused multiple times to generate test data sets, eliminating the need for experts to manually create test data repeatedly for different test scenarios.
Solution Approach 2:
The patent uses copying by allowing test data templates to be replicated and instantiated multiple times with different parameters. Once a template is created with proper structure and validation, it can be copied and used across numerous test cases, maintaining data quality consistency while dramatically reducing the time and expert effort required for each new test data set.
2Manufacturing precision
If application-specific programs are written for each test scenario, then test data accuracy is improved, but device complexity and maintenance burden increase
Solution Approach 1:
The patent applies universality by creating a single test data template framework that can serve multiple test scenarios and applications. The templates define universal data structures, validation rules, and generation logic that can be reused across different test cases, eliminating the need to write separate application-specific programs for each test scenario while maintaining data accuracy.
Solution Approach 2:
The patent uses segmentation by dividing test data generation into modular template components that can be independently configured and combined. Each template represents a segmented, reusable unit with specific parameters and validation rules, allowing complex test data requirements to be built from simpler, standardized template elements rather than writing monolithic application-specific programs.
3Quantity of substance
If large datasets are procured for demonstrations, then demonstration completeness is improved, but bandwidth and storage requirements increase
Solution Approach 1:
The patent applies dynamics by enabling test data templates to generate data sets of varying sizes and compositions based on specific demonstration needs. Rather than procuring and transmitting fixed large datasets, the templates can dynamically generate appropriate data volumes on-demand, reducing bandwidth consumption while providing sufficient data quantity for complete demonstrations.
Data Source
AI summary
According to some embodiments, systems and methods are provided including an object data store storing object data for each object, the object data including one or more properties; a template data store storing one or more templates associated with the object data; a memory storing processor-executable program code; and a processing unit to execute the processor-executable program code to cause the system to: retrieve information from the object data store for a first object, including available properties for the first object; define the first object with at least one retrieved available property, the defined first object is a template candidate; generate simulated test data with the template candidate; and store the template candidate as a template in the template data store. Numerous other aspects are provided.