The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 13, 2026

Filed:

Dec. 06, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Utkarsh Milind Desai, Bangalore, IN;

Srikanth Govindaraj Tamilselvam, Chennai, IN;

Sai Koti Reddy Danda, Narasaraopeta, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/082 (2023.01); G06F 18/21 (2023.01); G06F 18/23 (2023.01); G06N 3/084 (2023.01); G06N 3/086 (2023.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06F 18/2178 (2023.01); G06F 18/23 (2023.01); G06N 3/084 (2013.01); G06N 3/086 (2013.01);
Abstract

Methods, systems, and computer program products for multi-objective driven refactoring of a monolith application using reinforcement learning are provided herein. A computer-implemented method includes obtaining multiple code modules of a monolith application and a plurality of conflicting metrics for determining a set of microservices for the monolith application; performing a reinforcement learning-based clustering process that iteratively generates a plurality of clusters comprising the code modules based at least in part on feedback provided for the plurality of conflicting metrics at each iteration; generating candidate microservices for the monolith application, wherein each candidate microservice corresponds to a different one of the plurality of clusters; and outputting the generated candidate microservices to at least one of a system and a user.


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Desai, Utkarsh. (2026). Multi-objective driven refactoring of a monolith application using reinforcement learning (U.S. Patent No. 12762407). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12762407

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