Machine learning-based identification of monolithic software application
US11620128B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 23, 2021 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Aug 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described for automatically identifying monolithic software applications in users' computing environments for software modernization purposes. A monolithic patent application typically refers to a single-tiered application with self-contained functionality designed largely without modularity, although many types of applications can have monolithic characteristics. In many cases, modularity in a software application's design is desirable and thus developers may often seek to decompose monolithic applications into more modular “microservices” or other subunits when possible. A software modernization system includes a software analysis service that obtains, for one or more software applications undergoing evaluation, a collection of application artifacts, application profiling metrics, and other application profile data. A collection of features is extracted from the application artifacts and metrics and used as input to a ML model trained to determine whether a software application likely is monolithic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.