Machine learning based ranking of test cases for software development
US10474562B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 2017 |
| Grant date | Nov 12, 2019 |
| Priority date | — |
| Expiry date | Sep 20, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An online system ranks test cases run in connection with check-in of sets of software files in a software repository. The online system ranks the test cases higher if they are more likely to fail as a result of defects in the set of files being checked in. Accordingly, the online system informs software developers of potential defects in the files being checked in early without having to run the complete suite of test cases. The online system determines a vector representation of the files and test cases based on a neural network. The online system determines an aggregate vector representation of the set of files. The online system determines a measure of similarity between the test cases and the aggregate vector representation of the set of files. The online system ranks the test cases based on the measures of similarity of the test cases.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.