Cognitive software application learner and enhancer
US11809840B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 23, 2022 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Jul 31, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, computer program products, and methods are described herein for continuous cognitive code logic detection and prediction using machine learning techniques. The present invention is configured to receive, from a user input device, source code scripts and target code scripts for functional code logic components of a full stack, wherein the source code scripts and the target code scripts are associated with one or more tiers; generate a training dataset based on at least the source code scripts, the target code scripts, and the functional code logic components of the full stack; train, using a machine learning algorithm, a machine learning model using the training dataset; determine a prediction accuracy associated with the machine learning model; determine that the prediction accuracy is greater than a predetermined threshold; and deploy the machine learning model on unseen source code scripts.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.