Patents by Inventor Nivedita SHAH

Nivedita SHAH 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).

  • Utilizing machine learning models for automated software code modification
    Patent number: 11455161
    Abstract: A device may receive requirement data identifying a requirement for modification of software code, and may process the requirement data, with a machine learning model, to identify entities and intents in the software code and to generate a query. The device may process the query, with a code locator model, to encode text of the query into high-dimensional vectors and to identify a semantic similarity between the high-dimensional vectors and code text. The device may process the query, the semantic similarity, and the code text, with a code developer model, to generate metadata, and may utilize the metadata to identify an identifier associated with the software code. The device may determine, utilizing the identifier, a portion of the software code, and may modify the portion of the software code based on the query to generate modified software code. The device may perform actions based on the modified software code.
    Type: Grant
    Filed: February 1, 2021
    Date of Patent: September 27, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Rajendra Tanniru Prasad, Aditi Kulkarni, Koushik M. Vijayaraghavan, Priya Athreyee, Pradeep Senapati, Kamakshi Girish, Dibyendu Chattopadhyay, Nivedita Shah
  • UTILIZING MACHINE LEARNING MODELS FOR AUTOMATED SOFTWARE CODE MODIFICATION
    Publication number: 20220244937
    Abstract: A device may receive requirement data identifying a requirement for modification of software code, and may process the requirement data, with a machine learning model, to identify entities and intents in the software code and to generate a query. The device may process the query, with a code locator model, to encode text of the query into high-dimensional vectors and to identify a semantic similarity between the high-dimensional vectors and code text. The device may process the query, the semantic similarity, and the code text, with a code developer model, to generate metadata, and may utilize the metadata to identify an identifier associated with the software code. The device may determine, utilizing the identifier, a portion of the software code, and may modify the portion of the software code based on the query to generate modified software code. The device may perform actions based on the modified software code.
    Type: Application
    Filed: February 1, 2021
    Publication date: August 4, 2022
    Inventors: Rajendra Tanniru PRASAD, Aditi KULKARNI, Koushik M. VIJAYARAGHAVAN, Priya ATHREYEE, Pradeep SENAPATI, Kamakshi GIRISH, Dibyendu CHATTOPADHYAY, Nivedita SHAH