Patents by Inventor Ravichandran Subramaniam

Ravichandran Subramaniam has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Automatic generation of microservices based on technical description of legacy code
    Patent number: 10628152
    Abstract: A device may receive information that identifies code associated with an application. The device may generate a technical description of the code based on the information that identifies the code associated with the application. The device may generate a set of rules based on the technical description of the code. The set of rules being associated with a semantics of business vocabulary and business rules (SBVR) format. The device may generate a set of microservices based on the set of rules. The device may provide information that identifies the set of microservices to cause an action to be performed.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: April 21, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: M. Chandramouli, Vidyasagar Honnappa, Nitin Madhukar Sawant, Pramod Bijani, Ravichandran Subramaniam, Satya Bharat
  • System modernization using machine learning
    Patent number: 10496935
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for system modernization using machine learning are disclosed. In one aspect, a method includes the actions of generating training data. The actions include generating a first model, a second model, and a third model. The actions include receiving data that is related to technological capabilities of an application and data that is related to business priorities of the application. The actions include applying the first model to the data that is related to the technological capabilities of the application and the second model to the data that is related to business priorities of the application. The actions include generating a modification recommendation for the application. The actions further include providing, for output, the modification recommendation for the application. The actions include receiving feedback data that indicates a level of acceptance of the modification recommendation for the application.
    Type: Grant
    Filed: May 9, 2016
    Date of Patent: December 3, 2019
    Assignee: Accenture Global Solutions Limited
    Inventors: Ravi Sachdev, Pramodsing Bijani, Mahesh Bandkar, Anand Parulkar, Ravichandran Subramaniam
  • AUTOMATIC GENERATION OF MICROSERVICES BASED ON TECHNICAL DESCRIPTION OF LEGACY CODE
    Publication number: 20180365008
    Abstract: A device may receive information that identifies code associated with an application. The device may generate a technical description of the code based on the information that identifies the code associated with the application. The device may generate a set of rules based on the technical description of the code. The set of rules being associated with a semantics of business vocabulary and business rules (SBVR) format. The device may generate a set of microservices based on the set of rules. The device may provide information that identifies the set of microservices to cause an action to be performed.
    Type: Application
    Filed: June 19, 2017
    Publication date: December 20, 2018
    Inventors: M. CHANDRAMOULI, Vidyasagar HONNAPPA, Nitin Madhukar SAWANT, Pramod BIJANI, Ravichandran SUBRAMANIAM, Satya BHARAT
  • SYSTEM MODERNIZATION USING MACHINE LEARNING
    Publication number: 20170270432
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for system modernization using machine learning are disclosed. In one aspect, a method includes the actions of generating training data. The actions include generating a first model, a second model, and a third model. The actions include receiving data that is related to technological capabilities of an application and data that is related to business priorities of the application. The actions include applying the first model to the data that is related to the technological capabilities of the application and the second model to the data that is related to business priorities of the application. The actions include generating a modification recommendation for the application. The actions further include providing, for output, the modification recommendation for the application. The actions include receiving feedback data that indicates a level of acceptance of the modification recommendation for the application.
    Type: Application
    Filed: May 9, 2016
    Publication date: September 21, 2017
    Inventors: Ravi Sachdev, Pramodsing Bijani, Mahesh Bandkar, Anand Parulkar, Ravichandran Subramaniam