Machine learning based test coverage in a production environment
US11232019B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 7, 2020 |
| Grant date | Jan 25, 2022 |
| Priority date | — |
| Expiry date | Jul 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure relate to machine learning based test coverage in a production environment. A computing platform may retrieve, for a software application, first log data associated with a production environment, and generate a production navigational graph where a node represents a webpage visited by a user, and an edge represents a navigational link between two webpages. Likewise, second log data associated with a testing environment may be retrieved, and a testing navigational graph may be generated, where a node represents a webpage tested by a developer, and an edge represents a navigational link between two webpages. Then, the computing platform may generate a coverage graph indicative of a gap between the navigation activity and the testing activity. Subsequently, the computing platform may provide, via an interactive graphical user interface, the coverage graph, where nodes and edges of the coverage graph are associated with selectable visual objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.