System for splicing and formatting code via machine learning
US11093365B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 15, 2019 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Jul 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present invention provide a system for identifying, splicing, and formatting code via machine learning for application analysis. In particular, the system may generate a repository that links multiple historical codes with associated analysis parameters. When a request for a new set of analysis codes is requested for analyzing a first application, the system can determine a set of analysis parameters associated with that first application and determine the set of analysis codes for analyzing the first application through machine learning analysis of the repository. The system may then generate the set of analysis codes by splicing together the determined set of analysis codes and formatting the codes into a format that is compatible with the first application. The system may then automatically execute the code on the first application within a testing environment and display the results on a computing device of an associated user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.