System and method for generating an effective test data set for testing big data applications
US10467220B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 29, 2016 |
| Grant date | Nov 5, 2019 |
| Priority date | — |
| Expiry date | Aug 13, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/254
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for generating an effective test data set for testing big data applications includes a data collector, a data analyzer, an input domain modeler, a self-adaptive input domain modeler, and a test data set generator. The data collector collects a high volume of data from an original data set and initial constraints, the data analyzer analyzes the data and the initial constraints to generate analytical results, the input domain modeler automatically generates an input domain model based on the analytical results, the self-adaptive input domain modeler generates a self-adaptive input domain model by combining the input domain model and analytical results, and the test data set generator generates an initial test data set based on the self-adaptive input domain model. A method for generating an effective test data set for testing big data applications is also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.