Patents by Inventor Jinqiu Yang

Jinqiu Yang 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: 10942708
    Abstract: A tool that automatically generates a web API specification from a web API documentation is provided. The tool extracts a base uniform resource locator (URL) string from the received documentation by identifying URL strings in the documentation that are valid web application programming interface (API) calls. The tool infers path templates by identifying and clustering path expressions in the documentation that invoke the same URL endpoints. The tool extracts hypertext transfer protocol (HTTP) request type and query parameters associated with the inferred path templates. The tool generates a specification that includes the extracted base URL, the inferred path templates, the extracted HTTP request types, and the extracted query parameters.
    Type: Grant
    Filed: January 10, 2017
    Date of Patent: March 9, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Julian T. Dolby, John E. Wittern, Jinqiu Yang, Annie T. T. Ying
  • Patent number: 10592405
    Abstract: Vulnerability testing of applications may include one or more of identifying a number of paths from a software application being tested, identifying a number of nodes associated with the paths, determining one or more of the paths which share one or more of the nodes, designating the paths which share the nodes as overlapping paths, and displaying the overlapping paths and the shared nodes as an interactive visualization to identify to identify optimal locations to fix one or more vulnerability findings.
    Type: Grant
    Filed: October 3, 2017
    Date of Patent: March 17, 2020
    Assignee: International Business Machines Corporation
    Inventors: Kristofer A. Duer, John T. Peyton, Stephen D. Teilhet, Lin Tan, Jinqiu Yang
  • Patent number: 10324825
    Abstract: A source code processing application may process source code and realize the results of the code in a map configuration. In one example, the map may be displayed with a number of stations and pathways between the stations to illustrate associations with classes of the source code. An example method of operation may include one or more of retrieving source code comprising a class from memory, processing the source code to identify an error associated with the class, creating a map with a station linked to the error, and displaying the map on a device.
    Type: Grant
    Filed: August 14, 2018
    Date of Patent: June 18, 2019
    Assignee: International Business Machines Corporation
    Inventors: Kristofer A. Duer, John T. Peyton, Johnathan D. Smith, Stephen D. Teilhet, Jason N. Todd, Lin Tan, Jinqiu Yang
  • Publication number: 20190102286
    Abstract: Vulnerability testing of applications may include one or more of identifying a number of paths from a software application being tested, identifying a number of nodes associated with the paths, determining one or more of the paths which share one or more of the nodes, designating the paths which share the nodes as overlapping paths, and displaying the overlapping paths and the shared nodes as an interactive visualization to identify to identify optimal locations to fix one or more vulnerability findings.
    Type: Application
    Filed: October 3, 2017
    Publication date: April 4, 2019
    Inventors: Kristofer A. Duer, John T. Peyton, Stephen D. Teilhet, Lin Tan, Jinqiu Yang
  • Publication number: 20180357151
    Abstract: A source code processing application may process source code and realize the results of the code in a map configuration. In one example, the map may be displayed with a number of stations and pathways between the stations to illustrate associations with classes of the source code. An example method of operation may include one or more of retrieving source code comprising a class from memory, processing the source code to identify an error associated with the class, creating a map with a station linked to the error, and displaying the map on a device.
    Type: Application
    Filed: August 14, 2018
    Publication date: December 13, 2018
    Inventors: Kristofer A. Duer, John T. Peyton, Johnathan D. Smith, Stephen D. Teilhet, Jason N. Todd, Lin Tan, Jinqiu Yang
  • Publication number: 20180196643
    Abstract: A tool that automatically generates a web API specification from a web API documentation is provided. The tool extracts a base uniform resource locator (URL) string from the received documentation by identifying URL strings in the documentation that are valid web application programming interface (API) calls. The tool infers path templates by identifying and clustering path expressions in the documentation that invoke the same URL endpoints. The tool extracts hypertext transfer protocol (HTTP) request type and query parameters associated with the inferred path templates. The tool generates a specification that includes the extracted base URL, the inferred path templates, the extracted HTTP request types, and the extracted query parameters.
    Type: Application
    Filed: January 10, 2017
    Publication date: July 12, 2018
    Inventors: Julian T. Dolby, John E. Wittern, Jinqiu Yang, Annie T. T. Ying
  • Publication number: 20180089064
    Abstract: A source code processing application may process source code and realize the results of the code in a map configuration. In one example, the map may be displayed with a number of stations and pathways between the stations to illustrate associations with classes of the source code. An example method of operation may include one or more of retrieving source code comprising a class from memory, processing the source code to identify an error associated with the class, creating a map with a station linked to the error, and displaying the map on a device.
    Type: Application
    Filed: September 23, 2016
    Publication date: March 29, 2018
    Inventors: Kristofer A. Duer, John T. Peyton, Jonathan D. Smith, Stephen D. Teilhet, Jason N. Todd, Lin Tan, Jinqiu Yang