Patents by Inventor Minsik JIN

Minsik JIN 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).

  • Patent number: 10394687
    Abstract: The present invention relates to a method for classifying alarm types in detecting source code errors, a computer program therefor, and a recording medium thereof. The method for classifying alarm types in detecting source code errors includes: receiving input of alarm path information about an occurring error detection alarm and source code information that is an object associated with the occurring alarm, the alarm path information being information about an execution path related to the error detection; converting the source code into an abstract syntax tree (AST); removing, from the AST, an unnecessary sub-tree that is not related to the error detection alarm; obtaining a feature vector of the AST having the unnecessary sub-tree removed therefrom based on a preset feature pattern set; and classifying, by types, the error detection alarm associated with the feature vector by clustering the obtained feature vector using a preset method.
    Type: Grant
    Filed: November 26, 2015
    Date of Patent: August 27, 2019
    Assignee: SPARROW CO., LTD.
    Inventors: Jongwon Yoon, Minsik Jin
  • Publication number: 20170329694
    Abstract: The present invention relates to a method for classifying alarm types in detecting source code errors, a computer program therefor, and a recording medium thereof. The method for classifying alarm types in detecting source code errors includes: receiving input of alarm path information about an occurring error detection alarm and source code information that is an object associated with the occurring alarm, the alarm path information being information about an execution path related to the error detection; converting the source code into an abstract syntax tree (AST); removing, from the AST, an unnecessary sub-tree that is not related to the error detection alarm; obtaining a feature vector of the AST having the unnecessary sub-tree removed therefrom based on a preset feature pattern set; and classifying, by types, the error detection alarm associated with the feature vector by clustering the obtained feature vector using a preset method.
    Type: Application
    Filed: November 26, 2015
    Publication date: November 16, 2017
    Inventors: Jongwon YOON, Minsik JIN