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:
May. 02, 2023

Filed:

Mar. 20, 2019
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Shruti Kunde, Mumbai, IN;

Chetan Phalak, Mumbai, IN;

Rekha Singhal, Mumbai, IN;

Manoj Nambiar, Mumbai, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06F 16/9035 (2019.01); G06N 7/00 (2006.01); G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01); G06F 16/9035 (2019.01); G06N 7/005 (2013.01);
Abstract

The disclosure generally relates to system architectures, and, more particularly, to a method and system for system architecture recommendation. In existing scenario, a solution architect often gets minimum details about requirements, hence struggles to design a system architecture that matches the requirements. The method and system disclosed herein are to provide system recommendation in response to requirements provided as input to the system. The system generates an acyclic dependency graph based on parameters and values extracted from an obtained user input. The system then identifies a reference architectures that matches the requirements, and further selects components that match the architecture requirements. The system further selects technologies considering inter-operability of the technologies. Further, the system generates architecture recommendations for the user, based on the selected components, and technologies. The system can collect user feedback for to the recommendation provided, and can generate rankings to improve future recommendations.


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