Predicting a success rate of deploying a software bundle
US10789057B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 16, 2018 |
| Grant date | Sep 29, 2020 |
| Priority date | — |
| Expiry date | Nov 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, a server may determine a plurality of variables associated with a software package. For example, the plurality of variables may include a size of the software package, a reboot variable associated with the software package indicating whether a reboot is to be performed after installing the software package, and an installation type indicating whether the software package is a first install or an upgrade. The server may execute a machine learning model to determine, based on the plurality of variables, a risk score predicting an installation success rate of the software package. The server may select a deployment strategy from a plurality of deployment strategies based at least in part on the risk score and the plurality of variables. The server may provide the software package to a plurality of computing devices in accordance with the deployment strategy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.