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. 20, 2026

Filed:

Nov. 30, 2022
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Anantha Desik Puranam Hosudurg, Hyderabad, IN;

Sumiran Naman, Pune, IN;

Ashim Roy, Pune, IN;

Naga Basava Raju Padmanabhuni, Hyderabad, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06F 18/22 (2023.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 11/0793 (2013.01); G06F 11/0709 (2013.01); G06F 11/0751 (2013.01); G06F 11/0769 (2013.01); G06F 11/0778 (2013.01); G06F 11/0787 (2013.01); G06F 11/079 (2013.01); G06F 18/22 (2023.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01);
Abstract

In the DevOps process, testing teams use automated testcases to test a product in a regression testing running daily, which generate thousands of log files per run, in various distributed environment with different formats. Solutions to errors depend on SMEs and the impact of solution leads to rework of defect/errors and high degree of heterogeneity. This leads to huge bottleneck in automation of DevOps process leading to loss of productivity and agility. Present disclosure addresses the challenges by providing systems and methods that auto capture the log files of different formats efficiently in a scalable, extendible, and plug-able way. The system then mines and parses the log files based on given identifiers to standardize and de-duplicate to create unique error records with detail description including cause, position, module, timestamp, etc. The system predicts the solutions leveraging the database containing solutions and errors by using a modified Smooth Inverse Frequency technique.


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