Patents

US 12754822 B2: Predicting application resiliency issues using machine learning techniques

Granted
2026-10-06
Filed
2023-07-11 application 18220537
Type
Utility · 17 claims
Elsewhere
Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗

Abstract

Techniques are described for predicting resiliency of software applications. Techniques provide for obtaining one or more software construction variables, software operation variables, and an error rate associated with a first software application. This includes training a machine learning model to predict a resiliency of a particular software application using the software construction variables, the software operation variables, and the error rate for each of the plurality of first software applications. A software construction variable and a software operation variable associated with the second software application are obtained. The trained machine learning model is applied to the software construction variable and the software operation variable associated with the second software application to predict an error rate for the second software application. Then a resiliency for the second software application is determined based upon the predicted error rate and display an indication of the resiliency for the second software application.

Source: PTBLXML, file of 2026-10-06 (ipgb20261006.xml).

Assignees

AssigneeTypePlaceAlso on furp.orgSource
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY 2,604 patentsUS company or organizationBloomington, ILSTATE FARM MUTUAL AUTOMOBILE INSURANCE CO Form D issuer FUZZY medium confidence: same name (legal endings aside) and statePTBLXML, file of 2026-10-06

Inventors

InventorPlacePatentsPerson pageSource
Chris PiwinskyBloomington, ILPTBLXML, file of 2026-10-06
Ryan ChambersBloomington, IL5PTBLXML, file of 2026-10-06
Chenxi YuBloomington, ILPTBLXML, file of 2026-10-06
Ryan JewellBloomington, IL6PTBLXML, file of 2026-10-06
Sean HarmonBloomington, ILPTBLXML, file of 2026-10-06

CPC categories

SubclassCategoryFirst groupSource
G06FElectric digital data processingG06F11/3612PTBLXML, file of 2026-10-06

Cooperative Patent Classification, as currently assigned (one row per subclass).

Assignments and security interests

No recorded assignments or security interests on file for this patent.

USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.