Patents by Inventor MINGWEI TANG

MINGWEI TANG 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).

  • Time-weighted risky code prediction
    Patent number: 11157385
    Abstract: A classification machine learning model is trained to predict the likelihood that a software program is likely to have a software bug in the future. The model is based on features from different source code files having changes made to fix a software bug and source code files having changes that were not made for a bug fix. The features include a time-weighted bug density, a time-weighted addition factor, and a time-weighted deletion factor for a source code file and its dependent code, a page rank, and complexity features representing a number of different types of code elements in the source code file.
    Type: Grant
    Filed: November 5, 2019
    Date of Patent: October 26, 2021
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Xi Cheng, Neelakantan Sundaresan, Mingwei Tang
  • TIME-WEIGHTED RISKY CODE PREDICTION
    Publication number: 20200073784
    Abstract: A classification machine learning model is trained to predict the likelihood that a software program is likely to have a software bug in the future. The model is based on features from different source code files having changes made to fix a software bug and source code files having changes that were not made for a bug fix. The features include a time-weighted bug density, a time-weighted addition factor, and a time-weighted deletion factor for a source code file and its dependent code, a page rank, and complexity features representing a number of different types of code elements in the source code file.
    Type: Application
    Filed: November 5, 2019
    Publication date: March 5, 2020
    Inventors: XI CHENG, NEELAKANTAN SUNDARESAN, MINGWEI TANG
  • Time-weighted risky code prediction
    Patent number: 10489270
    Abstract: A classification machine learning model is trained to predict the likelihood that a software program is likely to have a software bug in the future. The model is based on features from different source code files having changes made to fix a software bug and source code files having changes that were not made for a bug fix. The features include a time-weighted bug density, a time-weighted addition factor, and a time-weighted deletion factor for a source code file and its dependent code, a page rank, and complexity features representing a number of different types of code elements in the source code file.
    Type: Grant
    Filed: June 11, 2018
    Date of Patent: November 26, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Xi Cheng, Neelakantan Sundaresan, Mingwei Tang
  • TIME-WEIGHTED RISKY CODE PREDICTION
    Publication number: 20190227902
    Abstract: A classification machine learning model is trained to predict the likelihood that a software program is likely to have a software bug in the future. The model is based on features from different source code files having changes made to fix a software bug and source code files having changes that were not made for a bug fix. The features include a time-weighted bug density, a time-weighted addition factor, and a time-weighted deletion factor for a source code file and its dependent code, a page rank, and complexity features representing a number of different types of code elements in the source code file.
    Type: Application
    Filed: June 11, 2018
    Publication date: July 25, 2019
    Inventors: XI CHENG, NEELAKANTAN SUNDARESAN, MINGWEI TANG