Using similarity analysis and machine learning techniques to manage test case information
US10768893B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 20, 2017 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Mar 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device may obtain test case information for a set of test cases. The test case information may include test case description information, test case environment information, and/or test case defect information. The device may determine a set of field-level similarity scores by using a set of similarity analysis techniques to analyze a set of test case field groups associated with the test case information. The device may determine a set of overall similarity scores for a set of test case groups by using a machine learning technique to analyze the set of field-level similarity scores. The device may update a data structure that stores the test case information to establish one or more associations between the test case information and the set of overall similarity scores. The device may process a request from a user device using information included in the updated data structure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.