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:
Jan. 23, 2024

Filed:

Jun. 06, 2021
Applicant:

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

Inventors:

Harish Bharti, Pune, IN;

Balakrishnan Sreenivasan, Jayanagar, IN;

Joydeep Banerjee, Kolkata, IN;

Sandeep Sukhija, Rajasthan, IN;

Shweta Jain, Bengaluru, IN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 16/21 (2019.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06F 18/23 (2023.01);
U.S. Cl.
CPC ...
G06F 16/282 (2019.01); G06F 16/217 (2019.01); G06F 16/2358 (2019.01); G06F 18/22 (2023.01); G06F 18/24147 (2023.01); G06N 20/00 (2019.01);
Abstract

A computer identifies, within a hierarchical database, data elements associated with a selected function associated with the database, comprising. The computer identifies at least one function associated with a hierarchical database containing data elements. The computer, in response to identifying the function, identifies within a list of indica, at least one reference indicia corresponding to the at least one function. The computer identifies within a monolithic application relevant code elements associated with the reference indicia. The computer generates an activity log associated with execution of the relevant code elements. The computer identifies, within the activity log, a group of data elements associated with the execution of the relevant code elements. The computer generates a group data element clusters using a Machine Learning algorithm. The computer identifies at least one of the group of data element clusters as relevant to the at least one function.


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