Patents by Inventor ANIKET VIDYADHAR PEDNEKAR

ANIKET VIDYADHAR PEDNEKAR 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).

  • Publication number: 20180150742
    Abstract: A probabilistic machine learning model is generated to identify potential bugs in a source code file. Source code files with and without bugs are analyzed to find features indicative of a pattern of the context of a software bug, wherein the context is based on a syntactic structure of the source code. The features may be extracted from a line of source code, a method, a class and/or any combination thereof. The features are then converted into a binary representation of feature vectors that train a machine learning model to predict the likelihood of a software bug in a source code file.
    Type: Application
    Filed: November 28, 2016
    Publication date: May 31, 2018
    Inventors: MUIRIS WOULFE, POORNIMA MUTHUKUMAR, ALBERT AGRAZ SANCHEZ, YUANYUAN DONG, SONAL KUMAR, MAKSAT MARATOV, MARCIN MOZEJKO, PIOTR SARNICKI, ANIKET VIDYADHAR PEDNEKAR