Utilizing a combination of machine learning models to determine a success probability for a software product
US11900325B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Aug 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06393
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device may receive project management data associated with development of a software product and may process a first portion of the project management data, with first models, to generate timeliness scores and an overall timeliness score for the software product. The device may process a second portion of the project management data, with second models, to generate quality scores and an overall quality score for the software product and may process a third portion of the project management data, with third models, to generate product readiness scores and an overall product readiness score for the software product. The device may utilize a fourth machine learning model, with the overall timeliness score, the overall quality score, and the overall product readiness score, to generate a success probability for the software product and may perform one or more actions based on the success probability for the software product.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.